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Deep learning approach to peripheral leukocyte recognition

Qiwei Wang, Shusheng Bi, Minglei Sun, Yuliang Wang, Di Wang, Shaobao Yang, Jie Zhang
2019 PLoS ONE  
The classification pipeline based on convolutional neural network is of automatic feature extraction and free of segmentation but hard to deal with multiple object recognition.  ...  Finally, we evaluate these detection models on test sets consisting of 1,120 annotated images and 7,868 labeled single object images corresponding to 11 categories of peripheral leukocytes, respectively  ...  They supplied valuable medical support and image data for our research.  ... 
doi:10.1371/journal.pone.0218808 pmid:31237896 pmcid:PMC6592546 fatcat:xpoujhgmevc4rphrsa7stgmc6y

On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study

Andrea Loddo, Lorenzo Putzu
2022 Applied Sciences  
By generating new synthetic leukocyte data, it is possible to demonstrate that the inclusion of a fine-grained method, such as detection or segmentation, before classification is essential to allow the  ...  This work explores the current limitations of deep learning-based methods applied to medical blood smear data.  ...  Introduction The last decade has seen remarkable Deep Neural Network (DNN) advancements in dealing with large-scale and challenging machine learning problems.  ... 
doi:10.3390/app12073269 fatcat:ew6rb27f4jhu5bzisaknzpcd34

Weakly Supervised Ternary Stream Data Augmentation Fine-Grained Classification Network for Identifying Acute Lymphoblastic Leukemia

Yunfei Liu, Pu Chen, Junran Zhang, Nian Liu, Yan Liu
2021 Diagnostics  
lymphoblasts in a fine-grained scale using microscopic images of peripheral blood smears.  ...  Concretely, for each training image, we first generate attention maps to represent the distinguishable part of the target by weakly supervised learning.  ...  suitable for fine-grained lymphocyte image categorization.  ... 
doi:10.3390/diagnostics12010016 pmid:35054183 pmcid:PMC8774328 fatcat:on5neook7jhttduyq6kzjwp2py

On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

Andrea Loddo, Lorenzo Putzu
2021 AI  
Current systems for leukocyte analysis are mainly dedicated to: counting, sub-types classification, disease detection or classification.  ...  We exploit various image descriptors combined with different classifiers, including CNNs, in order to evaluate which is the most suitable in such a scenario, when performing two different tasks: Classification  ...  [17] realised Cell3Net, a fine-grained leukocyte classification method for microscopic images, based on deep residual learning theory and medical domain knowledge.  ... 
doi:10.3390/ai2030025 fatcat:aqlvk6rdejgwzgla3nk2t4g77m

Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model

Luis Vogado, Rodrigo Veras, Kelson Aires, Flávio Araújo, Romuere Silva, Moacir Ponti, João Manuel R S Tavares
2021 Sensors  
To define the LeukNet parameters, we evaluated different CNNs models and fine-tuning methods using 18 image datasets, with different resolution, contrast, colour and texture characteristics.  ...  We conclude that using the most common and deepest CNNs may not be the best choice for applications where the images to be classified differ from those used in pre-training.  ...  In datasets with fine-grained images, the effects of pre-training with ImageNet were considered small.  ... 
doi:10.3390/s21092989 pmid:33923209 fatcat:mwnmdxyhm5fczg4m6zjzs3a6pi

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images [article]

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
2021 arXiv   pre-print
With a surge of the cumulative number of COVID-19 patients, radiologists are increasingly stressed to examine the CT scans manually.  ...  The multi-domain shift problem for the multi-center and multi-scanner studies is therefore nontrivial that is also crucial for a dependable recognition and critical for reproducible and objective diagnosis  ...  Shen, Dual attention based fine- grained leukocyte recognition for imbalanced microscopic images, Journal of Intelligent & Fuzzy Systems (Vol.37, no. 5) (2019) 6971–6982. [21] T.-C. Pham, C.  ... 
arXiv:2112.04984v1 fatcat:spnk3ztuevcavgaje6acjp4ula


George Argota-Pérez, José Almeida-Galindo, Cecilia Solano-García, Clemente Lara- Huallcca, Rosa Aquije-García, María Reyes-Ruiz, Luzmila Reyes-Ruiz
2019 Biotempo  
A partir, de considerar las palabras claves: learning model, cognitive technology domain, biomedicine en la plataforma ScienceDirect se realizó una búsqueda de los últimos tres años completos (2018, 2017  ...  Fine-grained leukocyte classification with deep residual learning for microscopic images 3 Deep generative learning for automated EHR diagnosis of traditional Chinese medicine 4 Recognition of emotions  ...  using multimodal physiological signals and an ensemble deep learning model 5 A happiness degree predictor using the conceptual data structure for deep learning architectures 6 A YinYang bipolar fuzzy  ... 
doi:10.31381/biotempo.v16i2.2525 fatcat:yoqwcl2exzgubdvtgcjtaxdnhe

Fourth Japan-US Joint Congress of Histochemistry and Cytochemistry: Thirty-fifth Annual Meeting of the Japan Society of Histochemistry and Cytochemistry and Forty-fifth Annual Meeting of the Histochemical Society-Abstracts

1994 Acta Histochemica et Cytochemica  
By fixing tissues for electron microscopic RAG with conventional chemical fixatives, such as buffered glutaraldehyde and osmium tetroxide, followed by conventional dehydration, embedding in epoxy resin  ...  With these techniques, sites of macromolecular synthesis at subcellular level in various organ systems and quantitative changes due to aging have been analyzed with image analysis system in our laboratory  ...  The number of grains per cell with 3H-UDR in glomeruli and uriniferous tubules in the superficial layer was about 50, while those in the deep layer was about 20 at E15.  ... 
doi:10.1267/ahc.27.376 fatcat:s4wbvzdktrbljkzvg37hjkeohq

"LeukNet" - A Model of Convolutional Neural Network for the Diagnosis of Leukemia

Luis H. S. Vogado, Rodrigo M. S. Veras, Kelson R. T. Aires
2020 Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)   unpublished
We evaluated different architectures and fine-tuning methods using 18 datasets containing 3536 images with distinct characteristics of color, texture, contrast, and resolution.  ...  image-based computer-aided diagnosis (CAD) systems in this area.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. VI. PUBLICATIONS  ... 
doi:10.5753/sibgrapi.est.2020.12993 fatcat:lvvev362azhttbgxtiom32mzuq

Full Issue PDF

2020 JACC Cardiovascular Imaging  
LA function was assessed by strain (rate) imaging.  ...  Lower peak atrial longitudinal strain values after decongestion were associated with increased risk for the composite endpoint of heart failure and mortality (p < 0.019).  ...  The authors are solely responsible for the design and conduct of this study; all study analyses; and the drafting and editing of the paper and its final contents.  ... 
doi:10.1016/s1936-878x(20)30301-6 fatcat:w765zpyw4neohdsuytjzyy4gtm

New Innovative Technologies Changing Cytology. 19th International Congress of Cytology. Yokohama, Japan, May 29-June 1, 2016: Abstracts

2016 Acta Cytologica  
Fine needle aspiration biopsy of the breast was the primary workup choice to investigate women with breast lumps or those with abnormal mammographic findings.  ...  Collaboration with global community of cytology has fostered academic atmosphere and improved overall standard of cytology practice for the country.  ...  Sanderson University of Massachusetts, United States Objectives: Two photon microscopy provides a high-resolution image deep within living tissue fragments, with minimal phototoxicity.  ... 
doi:10.1159/000446388 pmid:27226043 fatcat:xyvfetmpjjczlnkckr3bn3fh5q

The Integument1 [chapter]

Ann M. Hargis, Sherry Myers
2017 Pathologic Basis of Veterinary Disease  
The subcutis, consisting of lobules of adipose tissue and fascia, connects the more superficial layers (epidermis and dermis) with the underlying fascia and musculature.  ...  Microscopic lesions include superficial and usually deep perivascular dermatitis with numerous eosinophils.  ...  Although there are many new terms to learn, it should be realized that the system used to form these terms is similar to that used for other anatomic systems.  ... 
doi:10.1016/b978-0-323-35775-3.00017-5 fatcat:i7dlkfp4bnfclppdtr3d4fs2e4

Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front [article]

Christian M. Schürch, Salil S. Bhate, Graham L. Barlow, Darci J. Phillips, Luca Noti, Inti Zlobec, Pauline Chu, Sarah Black, Janos Demeter, David R. McIlwain, Nikolay Samusik, Yury Goltsev (+1 others)
2019 bioRxiv   pre-print
We optimized CO-Detection by indEXing (CODEX) for paraffin-embedded tissue microarrays, enabling profiling of 140 tissue regions from 35 advanced-stage colorectal cancer (CRC) patients with 56 protein  ...  Enrichment of PD- 1+CD4+ T cells only within a granulocyte CN positively correlated with survival in a high-risk patient subset.  ...  Accessing stromal or tumoral subtypes with additional markers, whether proteomic, genomic, or metabolic, will likely lead to a more fine-grained appreciation of substructures in these CNs as well. 23  ... 
doi:10.1101/743989 fatcat:i6ju3pt6pjbszeqwqbfersd5ce

Abstracts of Current Literature

1955 Radiology  
With fine grain intensifying screens against the film emulsion, the image definition is good enough to allow roentgenograms to be enlarged X2.  ...  vesicles or of the ure- thra, treatments have been possible with radium or with deep x-ray irradiation.  ... 
doi:10.1148/65.4.622 fatcat:xtxvfyolsrfyfofqgnkia2s6eq

Chronic traumatic encephalopathy in an Iraqi war veteran with posttraumatic stress disorder who committed suicide

Bennet Omalu, Jennifer L. Hammers, Julian Bailes, Ronald L. Hamilton, M. Ilyas Kamboh, Garrett Webster, Robert P. Fitzsimmons
2011 Neurosurgical Focus  
For learning and memory, his ability to learn a list of 16 words over 5 consecutive learning trials was in the average range (California Verbal Learning Test-2, 42nd percentile).  ...  Microscopic Neuropathological Findings H & E Stains.  ... 
doi:10.3171/2011.9.focus11178 pmid:22044102 fatcat:pi5mn2zxk5fbjcemocd24efifi
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