[HTML][HTML] On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
CRCNet: Global-local context and multi-modality cross attention for polyp segmentation
J Zhu, M Ge, Z Chang, W Dong - Biomedical Signal Processing and Control, 2023 - Elsevier
Accurate polyp segmentation is important for the diagnosis and treatment of colon cancer. In
recent years, efforts have been made to improve the encoder-decoder framework by using …
recent years, efforts have been made to improve the encoder-decoder framework by using …
CSNet: Colonic Polyp Segmentation for Assisted Diagnosis in Colonoscopy
J Zhu, Z Han, Z Chang, M Ge, R Gao… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurate colonoscopic diagnosis is essential for the early diagnosis and treatment of
colorectal cancer, where the identification and segmentation of the polyp lesion area is …
colorectal cancer, where the identification and segmentation of the polyp lesion area is …