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1. New Breast Cancer Data Have Been Reported by Investigators at School of Computing (Swarm Intelligent Metaheuristic Optimization Algorithms-based Artificial Neural Network Models for Breast Cancer Diagnosis: Emerging Trends, Challenges and...).

Subjects
ARTIFICIAL neural networks, METAHEURISTIC algorithms, CANCER diagnosis, BREAST cancer, OPTIMIZATION algorithms
Abstract

A recent report from investigators at the School of Computing in Tamil Nadu, India, discusses the use of swarm intelligent metaheuristic optimization algorithms-based artificial neural network models for breast cancer diagnosis. The report emphasizes the importance of early detection and the use of optimization algorithms to improve accuracy and efficiency in predicting breast cancer. The researchers compare different approaches and highlight the significance of swarm intelligent algorithms-based optimized artificial neural network models. The report also discusses evaluation metrics and future research directions in this field. This research has been peer-reviewed and provides valuable insights into breast cancer diagnosis. [Extracted from the article]

Published
2024

2. Reports from College of Engineering and Technology Highlight Recent Findings in Cancer Detection (Comparative Study and Analysis On Skin Cancer Detection Using Machine Learning and Deep Learning Algorithms).

Subjects
SKIN cancer, MACHINE learning, DEEP learning, EARLY detection of cancer, ENGINEERING schools, CONVOLUTIONAL neural networks
Abstract

Tamil Nadu, India, Asia, Algorithms, Cancer, Cancer Detection, Cyborgs, Emerging Technologies, Health and Medicine, Machine Learning, Oncology, Skin Cancer, Skin Neoplasms Keywords: Tamil Nadu; India; Asia; Algorithms; Cancer; Cancer Detection; Cyborgs; Emerging Technologies; Health and Medicine; Machine Learning; Oncology; Skin Cancer; Skin Neoplasms EN Tamil Nadu India Asia Algorithms Cancer Cancer Detection Cyborgs Emerging Technologies Health and Medicine Machine Learning Oncology Skin Cancer Skin Neoplasms 732 732 1 09/19/23 20230919 NES 230919 2023 SEP 19 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Oncology Week -- Investigators publish new report on Oncology - Cancer Detection. [Extracted from the article]

Published
2023

3. Recent Findings from Saveetha School of Engineering Has Provided New Information about Gastroenterology (Liver Tumor Prediction With Advanced Attention Mechanisms Integrated Into a Depth-based Variant Search Algorithm).

Subjects
SEARCH algorithms, LIVER tumors, ENGINEERING schools, GASTROENTEROLOGY, COMPUTER vision
Abstract

A recent study conducted by researchers at the Saveetha School of Engineering in Tamil Nadu, India, has proposed a novel approach for predicting liver tumors using Convolutional Neural Networks (CNN) and a depth-based variant search algorithm with advanced attention mechanisms (CNN-DS-AM). The proposed approach achieved high accuracy in predicting liver tumors, outperforming other state-of-the-art methods. The incorporation of attention mechanisms and a depth-based variant search algorithm into the CNN model shows promise in improving the accuracy and robustness of liver tumor prediction, which can assist radiologists in diagnosis and treatment planning. The research has been peer-reviewed and published in Computers Materials & Continua. [Extracted from the article]

Published
2024