Machine learning in neuro-oncology: Toward novel development fields

V Di Nunno, M Fordellone, G Minniti, S Asioli… - Journal of Neuro …, 2022 - Springer
Abstract Purpose Artificial Intelligence (AI) involves several and different techniques able to
elaborate a large amount of data responding to a specific planned outcome. There are …

Development of a CapsNet and Fuzzy Logic decision support system for diagnosing the Scoliosis and planning treatments via Schroth method

S Goral, U Kose - IEEE Access, 2022 - ieeexplore.ieee.org
Scoliosis is a disease caused by the spine curving. It is treatable but physiotherapists may
do different measurements for curvature angles. That'sa problem affecting the treatment …

[PDF][PDF] Breast cancer diagnosis: a survey of pre-processing, segmentation, feature extraction and classification.

ES Pour, M Esmaeili, M Romoozi - International Journal of …, 2022 - researchgate.net
Machine learning methods have been an interesting method in the field of medical for many
years, and they have achieved successful results in various fields of medical science. This …

Application of deep learning on the prognosis of cutaneous melanoma based on full scan pathology images

A Li, X Li, W Li, X Yu, M Qi, D Li - BioMed Research …, 2022 - Wiley Online Library
Introduction. The purpose of this study is to use deep learning and machine learning to learn
and classify patients with cutaneous melanoma with different prognoses and to explore the …

Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …

HM Rai, J Yoo, A Razaque - Expert Systems with Applications, 2024 - Elsevier
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …

Staying ahead of the game: how SARS-CoV-2 has accelerated the application of machine learning in pandemic management

AH Williams, CG Zhan - BioDrugs, 2023 - Springer
In recent years, machine learning (ML) techniques have garnered considerable interest for
their potential use in accelerating the rate of drug discovery. With the emergence of the …

[HTML][HTML] Artificial Intelligence Applications for Biomedical Cancer Research: A Review

IN Weerarathna, AR Kamble, A Luharia - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has rapidly evolved and demonstrated its potential in transforming
biomedical cancer research, offering innovative solutions for cancer diagnosis, treatment …

Predicting pathologic complete response in locally advanced rectal cancer patients after neoadjuvant therapy: a machine learning model using XGBoost

X Chen, W Wang, J Chen, L Xu, X He, P Lan… - International Journal of …, 2022 - Springer
Purpose Watch and wait strategy is a safe and effective alternative to surgery in patients with
locally advanced rectal cancer (LARC) who have achieved pathological complete response …

What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

X Li, H Chen, C Li, MM Rahaman, X Li, J Wu… - arXiv preprint arXiv …, 2022 - arxiv.org
In the past ten years, the computing power of machine vision (MV) has been continuously
improved, and image analysis algorithms have developed rapidly. At the same time …

The Evolution and Reliability of Machine Learning Techniques for Oncology.

HA Owida, BA Moh'd, N Turab… - … Journal of Online & …, 2023 - search.ebscohost.com
It is no secret that the rise of the Internet and other digital technologies has sparked renewed
interest in AI-based techniques, especially those that fall under the umbrella of the subset of …