A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
[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 …
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 …
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 comparative study on polyp classification using convolutional neural networks
Colorectal cancer is the third most common cancer diagnosed in both men and women in
the United States. Most colorectal cancers start as a growth on the inner lining of the colon or …
the United States. Most colorectal cancers start as a growth on the inner lining of the colon or …
An ensemble-based deep convolutional neural network for computer-aided polyps identification from colonoscopy
Colorectal cancer (CRC) is the third leading cause of cancer death globally. Early detection
and removal of precancerous polyps can significantly reduce the chance of CRC patient …
and removal of precancerous polyps can significantly reduce the chance of CRC patient …
Automated colorectal polyp detection based on image enhancement and dual-path CNN architecture
Colorectal Cancer (CRC) has the highest mortality rate of all cancers and is currently the
third leading cause of cancer-related death worldwide. The early detection and diagnosis of …
third leading cause of cancer-related death worldwide. The early detection and diagnosis of …
Automatic detection of colorectal polyps with mixed convolutions and its occlusion testing
Manual detection of colorectal polyps in the colonoscopy videos during diagnosis of
colorectal cancer can be challenging due to the large no. of sequential frames and high …
colorectal cancer can be challenging due to the large no. of sequential frames and high …
Dense pooling layers in fully convolutional network for skin lesion segmentation
One of the essential tasks in medical image analysis is segmentation and accurate detection
of borders. Lesion segmentation in skin images is an essential step in the computerized …
of borders. Lesion segmentation in skin images is an essential step in the computerized …