Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers

PK Jain, KV Tadepalli, S Roy, N Sharma - Multimedia Tools and …, 2024 - Springer
Atherosclerosis, caused by a variety of extrinsic risk factors, is the major cause of the
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …

Segmentation of ischemic stroke lesion from 3d mr images using random forest

A Gautam, B Raman - Multimedia Tools and Applications, 2019 - Springer
This paper focuses on segmentation of ischemic stroke lesion from the dataset contributed
by Ischemic Stroke Lesion Segmentation (ISLES)-2015 Sub-acute Ischemic Stroke lesion …

Automatic detection of brain strokes in CT images using soft computing techniques

BS Maya, T Asha - Biologically Rationalized Computing Techniques For …, 2018 - Springer
Stroke is the cerebrovascular issue influencing blood supply to the mind that predominantly
influences individuals over 65 years old. This article proposes an automatic technique to …

Deep learning based 3D multimodal CNN for brain tumor segmentation and detection

A Tiwari, D Kumar, H Sidh, P Sahare, T Diwan… - Iran Journal of Computer …, 2024 - Springer
Brain tumors present a significant challenge to healthcare professionals and can impact
individuals of any age. Despite advancements in medicine, early detection and effective …

Contour extraction and segmentation of cerebral hemorrhage from MRI of brain by gamma transformation approach

S Roy, P Ghosh, SK Bandyopadhyay - Proceedings of the 3rd International …, 2015 - Springer
Computer-aided diagnosis (CAD) systems have been the focus of several research
endeavors and it based on the idea of processing and analyzing images of different …

A useful approach towards 3D representation of brain abnormality from its 2D MRI slides with a volumetric exclamation

S Roy, S Sadhu… - Proceedings of the 2015 …, 2015 - ieeexplore.ieee.org
In the three-dimensional (3D) construction of brain tumour using several slides of magnetic
resonance imaging (MRI) has always been a keen interest for diagnosis and for research …

Segmentation of the Human Corpus Callosum Variability from T1 Weighted MRI of Brain

S Sadhu, S Roy, S Sadhukhan… - Proceedings of the …, 2016 - Springer
Corpus Callosum is an important part of the brain which works as major neural pathway that
connects homologous cortical areas of the two cerebral hemispheres. The size of Corpus …

[引用][C] Automated brain hemorrhage lesion segmentation and classification from MR image using an innovative composite method

S Roy, S Nag… - Journal of …, 2015 - Journal of Theoretical and Applied …