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Quantum Statistical Information Grid Clustering for Early Esophageal Adenocarcinoma Detection
Recent advances in the field of digital endoscopy have recognized as a primary key knowledge for medical screening of presence of diseases at its earlier stages and minimal invasive surgery. Many research works are done on automatic analyzing and detection of early esophageal adenocarcinoma which is not easy to detect at its primary stage. Because the esophageal images are naturally indeterministic and it is uncertain to detect its earliest appearance more precisely at its right stage ofdoi:10.47059/revistageintec.v11i4.2360 fatcat:v4aft4fqcvfpdpv2zy33wzlcl4