A review on a deep learning perspective in brain cancer classification

GS Tandel, M Biswas, OG Kakde, A Tiwari, HS Suri… - Cancers, 2019 - mdpi.com
A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …

The present and future of deep learning in radiology

L Saba, M Biswas, V Kuppili, EC Godia, HS Suri… - European journal of …, 2019 - Elsevier
Abstract The advent of Deep Learning (DL) is poised to dramatically change the delivery of
healthcare in the near future. Not only has DL profoundly affected the healthcare industry it …

Classification and prediction of diabetes disease using machine learning paradigm

M Maniruzzaman, MJ Rahman, B Ahammed… - … information science and …, 2020 - Springer
Background and objectives Diabetes is a chronic disease characterized by high blood
sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc …

Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine

S Saxena, B Jena, N Gupta, S Das, D Sarmah… - Cancers, 2022 - mdpi.com
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

Application of artificial intelligence for the diagnosis and treatment of liver diseases

JC Ahn, A Connell, DA Simonetto, C Hughes… - …, 2021 - Wiley Online Library
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

[HTML][HTML] Application of artificial intelligence in gastroenterology

YJ Yang, CS Bang - World journal of gastroenterology, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough
computer technology. By the era of big data, the accumulation of an enormous number of …

[HTML][HTML] Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies

E Cuadrado-Godia, P Dwivedi, S Sharma… - Journal of …, 2018 - ncbi.nlm.nih.gov
Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain
hemorrhages and is a leading cause of cognitive decline and functional loss in elderly …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …

M Agarwal, S Agarwal, L Saba, GL Chabert… - Computers in biology …, 2022 - Elsevier
Abstract Background COVLIAS 1.0: an automated lung segmentation was designed for
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …

Brain tumor characterization using radiogenomics in artificial intelligence framework

B Jena, S Saxena, GK Nayak, A Balestrieri, N Gupta… - Cancers, 2022 - mdpi.com
Simple Summary Radiogenomics is a relatively new advancement in the understanding of
the biology and behaviour of cancer in response to conventional treatments. One of the most …