One of the most prevalent malignancies diagnosed today is cancer of the mouth or oral
cancer. Compared to systemic malignancies like lung cancer, colon cancer, etc., oral cancer …

Image textures in computed tomography colonography (CTC) have great potential for
differentiating non-neoplastic from neoplastic polyps and thus can advance the current CTC …

Distinguishing malignant from benign lesions has significant clinical impacts on both early
detection and optimal management of those early detections. Convolutional neural network …

Objective To evaluate P ill C am colon capsule endoscopy (PCCE) in detecting the severity
and extent of active ulcerative colitis (UC), in comparison with conventional endoscopy …

Texture features have played an essential role in the field of medical imaging for computer-
aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has …

Objective: As an effective lesion heterogeneity depiction, texture information extracted from
computed tomography has become increasingly important in polyp classification. However …

Abstract 3D colon reconstruction from Optical Colonoscopy (OC) to detect non-examined
surfaces remains an unsolved problem. The challenges arise from the nature of optical …

Introduction Colonoscopy remains the reference standard for diagnosing and monitoring
colorectal cancer and for diagnosis and surveillance of inflammatory bowel disease …

Most previous efforts in developing computer-aided detection (CADe) of colonic polyps
apply similar measures or parameters to detect polyps regardless of their locations under an …

Introduction: Colorectal cancer (CRC) is one of the deadliest diseases in the European
Union. Colonoscopy remains the gold standard of CRC screening. Analysis of colonoscopy …