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 …
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 …
COVID-19 detection from chest X-ray images using feature fusion and deep learning
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …
Explainable ai for medical image analysis in medical cyber-physical systems: Enhancing transparency and trustworthiness of iomt
W Liu, F Zhao, A Shankar, C Maple… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Medical image analysis plays a crucial role in healthcare systems of Internet of Medical
Things (IoMT), aiding in the diagnosis, treatment planning, and monitoring of various …
Things (IoMT), aiding in the diagnosis, treatment planning, and monitoring of various …
[HTML][HTML] Residual LSTM layered CNN for classification of gastrointestinal tract diseases
Abstract nowadays, considering the number of patients per specialist doctor, the size of the
need for automatic medical image analysis methods can be understood. These systems …
need for automatic medical image analysis methods can be understood. These systems …
Polyp detection from colorectum images by using attentive YOLOv5
Background: High-quality colonoscopy is essential to prevent the occurrence of colorectal
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
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 …
A Machine Learning Model for Content-Based Image Retrieval
B Singh, EK Kaur, C Choudhary - 2023 2nd International …, 2023 - ieeexplore.ieee.org
With advancement in the modern era, digital data is the new asset. Now making large image
datasets is not that laborious task with improvement in image collection and data storage …
datasets is not that laborious task with improvement in image collection and data storage …
Effect of selection bias on automatic colonoscopy polyp detection
Despite the successful demonstration of the deep learning architectures for Automatic
Colonoscopy Polyp Detection (ACPD), studies have argued upon human bias, and lack of …
Colonoscopy Polyp Detection (ACPD), studies have argued upon human bias, and lack of …
An automatic gastric polyp detection technique using deep learning
Over the last few years, researchers have focused on computer‐aided polyp detection in
gastroscopy. Deep learning (DL) has shown great promise for polyps' identification. The …
gastroscopy. Deep learning (DL) has shown great promise for polyps' identification. The …