Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
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 …
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 …
[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
Prostate cancer detection using deep learning and traditional techniques
Prostate cancer (PCa) is a severe type of cancer and causes major deaths among men due
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes
Background Attention deficit hyperactivity disorder (ADHD) is a ubiquitous
neurodevelopmental disorder affecting many children. Therefore, automated diagnosis of …
neurodevelopmental disorder affecting many children. Therefore, automated diagnosis of …
Machine and deep learning prediction of prostate cancer aggressiveness using multiparametric MRI
E Bertelli, L Mercatelli, C Marzi, E Pachetti… - Frontiers in …, 2022 - frontiersin.org
Prostate cancer (PCa) is the most frequent male malignancy and the assessment of PCa
aggressiveness, for which a biopsy is required, is fundamental for patient management …
aggressiveness, for which a biopsy is required, is fundamental for patient management …
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …
source, pretrained convolutional neural networks and conventional machine learning …
Automatic diagnosis and grading of prostate cancer with weakly supervised learning on whole slide images
Background: The workflow of prostate cancer diagnosis and grading is cumbersome and the
results suffer from substantial inter-observer variability. Recent trials have shown potential in …
results suffer from substantial inter-observer variability. Recent trials have shown potential in …
Deep learning methods for early detection of monkeypox skin lesion
As the world has not fully recovered from the aftermath of COVID-19, a new pandemic
appears on the horizon. Monkey Pox is emerging as a new threat to the health of the world …
appears on the horizon. Monkey Pox is emerging as a new threat to the health of the world …