Deep learning methodologies applied to digital pathology in prostate cancer: a systematic review

N Rabilloud, P Allaume, O Acosta, R De Crevoisier… - Diagnostics, 2023 - mdpi.com
Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in
Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on …

Cancer detection and segmentation using machine learning and deep learning techniques: A review

HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …

[HTML][HTML] Supervised machine learning: A new method to predict the outcomes following exercise intervention in children with autism spectrum disorder

Z Sun, Y Yuan, X Dong, Z Liu, K Cai, W Cheng… - International Journal of …, 2023 - Elsevier
The individual differences among children with autism spectrum disorder (ASD) may make it
challenging to achieve comparable benefits from a specific exercise intervention program. A …

Early detection of prostate cancer: The role of scent

F Grizzi, C Bax, MAAA Hegazi, BJ Lotesoriere… - Chemosensors, 2023 - mdpi.com
Prostate cancer (PCa) represents the cause of the second highest number of cancer-related
deaths worldwide, and its clinical presentation can range from slow-growing to rapidly …

Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology

H Kang, Q Xu, D Chen, S Ren, H Xie, L Wang… - Expert Systems with …, 2024 - Elsevier
Fully supervised learning (FSL) and weakly supervised learning based on multiple instance
learning (WSLMIL) have become two mainstream paradigms for performing computer-aided …

Molecular landscape for risk prediction and personalized therapeutics of castration-resistant prostate cancer: at a glance

J Jian, X Wang, J Zhang, C Zhou, X Hou… - Frontiers in …, 2024 - frontiersin.org
Prostate cancer (PCa) is commonly occurred with high incidence in men worldwide, and
many patients will be eventually suffered from the dilemma of castration-resistance with the …

[HTML][HTML] A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer

S Patkar, S Harmon, I Sesterhenn, R Lis… - Journal of Pathology …, 2024 - Elsevier
The Gleason score is an important predictor of prognosis in prostate cancer. However, its
subjective nature can result in over-or under-grading. Our objective was to train an artificial …

Prostate Cancer Gleason Grading: A Review on Deep Learning Approaches for Recognizing

M Patel, P Sanghani, N Shah - ITM Web of Conferences, 2024 - itm-conferences.org
This survey paper is motivated by the imperative need for advanced and precise diagnostic
tools in the realm of prostate cancer, where Gleason grading plays a pivotal role in …

Study and Analysis of the Heterogeneity of a Prostate Cancer Dataset: First Steps on the Release of a Multicenter Strongly-Annotated Dataset

JM Marron-Esquivel, L Duran-Lopez… - X Workshop in R&D+ i & …, 2023 - Springer
Prostate cancer (PCa) is a prevalent and deadly disease, necessitating advancements in
diagnostic approaches with the advent of clinical digitization. This shift involves the …

Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection

K Kansal, S Sharma - International Advanced Computing Conference, 2023 - Springer
Breast cancer is a major contributor to cancer-related death in women. A higher likelihood of
survival could result from early detection if the patient could receive the appropriate …