Combined 3D Mesh and Generative Adversarial Network–Based Improved Liver Segmentation in Computed Tomography Images
M Sarmah, A Neelima - Soft Computing Techniques in Connected … - taylorfrancis.com
Liver segmentation and liver lesion segmentation are very crucial in the diagnosis of liver
diseases. In the modern age of digital healthcare, deep learning (DL) has an important role …
diseases. In the modern age of digital healthcare, deep learning (DL) has an important role …
Use of AI and Machine Learning for the Analysis of Cellular Images in Breast Cancer
Cancer is one of the most dangerous illnesses, but no long-term cure exists. One of the most
common cancers is breast cancer. In India, a woman receives a breast cancer diagnosis …
common cancers is breast cancer. In India, a woman receives a breast cancer diagnosis …
U-Net based deep architecture for brain tumor segmentation
O Aiadi, I LAOUAMER - dspace.univ-ouargla.dz
Deep learning has achieved very high and significant results in many interesting fields, the
medical imaging field is one of these active areas and it is advancing each day. In this work …
medical imaging field is one of these active areas and it is advancing each day. In this work …
[PDF][PDF] Asurvey: Generative adversarial networks and their applications in medical imaging: an overview from computer science perspective
MV Jalili, M Asghari - researchgate.net
The lack of high-quality annotated medical image datasets is a major problem colliding with
and hindering the growth of applications acquiring engines in the field of medical image …
and hindering the growth of applications acquiring engines in the field of medical image …