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 …
Transfer learning for medical images analyses: A survey
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …
science and also revitalized numerous fields where traditional machine learning methods …
Deep learning for image-based cancer detection and diagnosis− A survey
In this paper, we aim to provide a survey on the applications of deep learning for cancer
detection and diagnosis and hope to provide an overview of the progress in this field. In the …
detection and diagnosis and hope to provide an overview of the progress in this field. In 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 …
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
A computer-aided detection (CAD) tool for locating and detecting polyps can help reduce the
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …
chance of missing polyps during colonoscopy. Nevertheless, state-of-the-art algorithms were …
Classification of Skin Cancer empowered with convolutional neural network
Cancer is a major cause of death for many people around the world. There are a number of
types of cancers and they are curable; only if it is detected at its early stages. Skin cancer …
types of cancers and they are curable; only if it is detected at its early stages. Skin cancer …
A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …