A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
Enhanced u-net: A feature enhancement network for polyp segmentation
Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for
developing colorectal cancer. However, polyp segmentation is a challenging task due to the …
developing colorectal cancer. However, polyp segmentation is a challenging task due to the …
[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations
Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality
rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be …
rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be …
Artificial intelligence and machine learning based intervention in medical infrastructure: a review and future trends
People in the life sciences who work with Artificial Intelligence (AI) and Machine Learning
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …
(ML) are under increased pressure to develop algorithms faster than ever. The possibility of …
Mdfn: Multi-scale deep feature learning network for object detection
This paper proposes an innovative object detector by leveraging deep features learned in
high-level layers. Compared with features produced in earlier layers, the deep features are …
high-level layers. Compared with features produced in earlier layers, the deep features are …
Colorectal polyp segmentation by U-Net with dilation convolution
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers and a leading
cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the …
cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the …