Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based …
One of the most frequent cancers in women is breast cancer, and in the year 2022,
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …
Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
MF Ijaz, M Woźniak - Cancers, 2024 - mdpi.com
In the evolving landscape of medical imaging, the escalating need for deep-learning
methods takes center stage, offering the capability to autonomously acquire abstract data …
methods takes center stage, offering the capability to autonomously acquire abstract data …
Enhancing ductal carcinoma classification using transfer learning with 3D U-net models in breast cancer imaging
Breast cancer ranks among the leading causes of death for women globally, making it
imperative to swiftly and precisely detect the condition to ensure timely treatment and …
imperative to swiftly and precisely detect the condition to ensure timely treatment and …
Enhancing accessibility for improved diagnosis with modified EfficientNetV2-S and cyclic learning rate strategy in women with disabilities and breast cancer
Breast cancer, a prevalent cancer among women worldwide, necessitates precise and
prompt detection for successful treatment. While conventional histopathological examination …
prompt detection for successful treatment. While conventional histopathological examination …
A Deep Learning System for Detecting Cardiomegaly Disease Based on CXR Image
SE Sorour, AA Wafa, AA Abohany… - International Journal of …, 2024 - Wiley Online Library
The potential of technology to revolutionize healthcare is exemplified by the synergy
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …
Deep learning-based ensemble model for classification of breast cancer
Deep learning (DL)-based categorization and detection methods for breast cancer diagnosis
through medical images are utilized by computer-aided diagnosis (CAD) techniques. In this …
through medical images are utilized by computer-aided diagnosis (CAD) techniques. In this …
A novel electric motor fault diagnosis by using a convolutional neural network, normalized thermal images and few-shot learning
Motors constitute one critical part of industrial production and everyday life. The effective,
timely and convenient diagnosis of motor faults is constantly required to ensure continuous …
timely and convenient diagnosis of motor faults is constantly required to ensure continuous …
Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer
M Ghorbian, S Ghorbian - Heliyon, 2023 - cell.com
Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …
Development of a Machine Learning (ML)-Based Computational Model to Estimate the Engineering Properties of Portland Cement Concrete (PCC)
R Polo-Mendoza, G Martinez-Arguelles… - Arabian Journal for …, 2024 - Springer
Portland cement concrete (PCC) is the construction material most used worldwide. Hence,
its proper characterization is fundamental for the daily-basis engineering practice …
its proper characterization is fundamental for the daily-basis engineering practice …