A comprehensive review of various approach for medical image segmentation and disease prediction

V Narayan, M Faiz, PK Mall, S Srivastava - Wireless Personal …, 2023 - Springer
Image segmentation is a crucial aspect of machine vision in which usable information is
collected from an input image. This relevant information might range from detecting …

Comparative review on traditional and deep learning methods for medical image segmentation

SM Khaniabadi, H Ibrahim, IA Huqqani… - 2023 IEEE 14th …, 2023 - ieeexplore.ieee.org
Medical image segmentation is a vital task in medical imaging, aiming to extract meaningful
and precise information from images. While traditional methods have been extensively used …

Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution

B Wang, Y Lei, JJ Jeong, T Wang, Y Liu… - Medical Imaging …, 2019 - spiedigitallibrary.org
Prostate segmentation of MR volumes is a very important task for treatment planning and
image-guided brachytherapy and radiotherapy. Manual delineation of prostate in MR image …

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures

PC Quihui-Rubio, G Ochoa-Ruiz… - … Conference on Artificial …, 2022 - Springer
Prostate cancer is the second-most frequently diagnosed cancer and the sixth leading cause
of cancer death in males worldwide. The main problem that specialists face during the …

A new fast framework for early detection of prostate cancer without prostate segmentation

I Reda, A Shalaby, M Elmogy, M Ghazal… - … on Imaging Systems …, 2018 - ieeexplore.ieee.org
This paper presents a computer-aided diagnosis (CAD) system for early detection of
prostate cancer from diffusion-weighted magnetic resonance imaging (DWI) acquired at six …

A computer-aided system for prostate cancer diagnosis

I Reda, M Ghazal, A Shalaby, M Elmogy… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
In this paper, a computer-aided diagnosis (CAD) system for early diagnosis of prostate
cancer from diffusion-weighted magnetic resonance imaging (DWI) is proposed. The …

Role of machine learning in early diagnosis of kidney diseases.

MNMI Shehata - 2022 - ir.library.louisville.edu
Abstract Machine learning (ML) and deep learning (DL) approaches have been used as
indispensable tools in modern artificial intelligence-based computer-aided diagnostic …

[PDF][PDF] Comparative of Traditional and Deep Learning Methods in Medical Image Segmentation: A

SM Khaniabadi, H Ibrahim, IA Huqqani, FM Khaniabadi… - drive.google.com
Medical image segmentation is a crucial task in medical imaging analysis that aims to
extract meaningful and accurate information from medical images. In recent years, traditional …

Diagnosing prostate cancer based on deep learning with a stacked nonnegativity constraint autoencoder

I Reda, A Shalaby, M Elmogy… - Prostate Cancer …, 2018 - taylorfrancis.com
Prostate cancer is the second most frequently diagnosed malignancy in men, and is the sixth
most common cause of cancer-related male death worldwide [1]. Prostate cancer is also the …

Prostate segmentation from dw-mri using level-set guided by nonnegative matrix factorization

I Reda, P McClure, A Shalaby, M Elmogy… - Prostate Cancer …, 2018 - taylorfrancis.com
This chapter proposes a level-set-based framework for the delineation of the prostate from
three-dimensional (3D) diffusion-weighted (DW) magnetic resonance imaging (MRI). The …