Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review
Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …
common in men, with an increasing incidence. Pathology diagnosis complemented with …
The role of deep learning in diagnosing colorectal cancer
Colon cancer is a major public health issue, affecting a growing number of individuals
worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward …
worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward …
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
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 …
Federated neural architecture search for medical data security
X Liu, J Zhao, J Li, B Cao, Z Lv - IEEE transactions on industrial …, 2022 - ieeexplore.ieee.org
Medical data widely exist in the hospital and personal life, usually across institutions and
regions. They have essential diagnostic value and therapeutic significance. The disclosure …
regions. They have essential diagnostic value and therapeutic significance. The disclosure …
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
With an estimated five million fatal cases each year, lung cancer is one of the significant
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …
UKSSL: underlying knowledge based semi-supervised learning for medical image classification
Goal: Deep learning techniques have made significant progress in medical image analysis.
However, obtaining ground truth labels for unlabeled medical images is challenging as they …
However, obtaining ground truth labels for unlabeled medical images is challenging as they …
A comparative analysis of machine learning algorithms for detection of organic and nonorganic cotton diseases
Cotton is the natural fiber produced, and the commercial crop grown in monoculture on 2.5%
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …
A comparative analysis of machine learning algorithms to predict alzheimer's disease
M Bari Antor, AHMS Jamil, M Mamtaz… - Journal of …, 2021 - Wiley Online Library
Alzheimer's disease has been one of the major concerns recently. Around 45 million people
are suffering from this disease. Alzheimer's is a degenerative brain disease with an …
are suffering from this disease. Alzheimer's is a degenerative brain disease with an …
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images
According to a 2020 WHO report, cancer is one of the main causes of deaths worldwide.
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …