Mahesh T R
Overview
Explore the profile of Mahesh T R including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
11
Citations
9
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
R N, Khan S, Kumar A, T R M, Alojail M, Sangwan S, et al.
SLAS Technol
. 2024 Dec;
31:100238.
PMID: 39722407
This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and...
2.
Shanmugavadivel K, M S M, T R M, Al-Shehari T, Alsadhan N, Yimer T
BMC Med Inform Decis Mak
. 2024 Oct;
24(1):281.
PMID: 39354496
Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the research conducted by National Institutes of Health, it...
3.
Vanitha K, T R M, Sree S, Guluwadi S
BMC Med Inform Decis Mak
. 2024 Aug;
24(1):222.
PMID: 39112991
Lung and colon cancers are leading contributors to cancer-related fatalities globally, distinguished by unique histopathological traits discernible through medical imaging. Effective classification of these cancers is critical for accurate diagnosis...
4.
Musthafa M, T R M, V V, Guluwadi S
BMC Med Imaging
. 2024 Aug;
24(1):201.
PMID: 39095688
Skin cancer stands as one of the foremost challenges in oncology, with its early detection being crucial for successful treatment outcomes. Traditional diagnostic methods depend on dermatologist expertise, creating a...
5.
S Y, Jeya J, T R M, Khan S, Alzahrani S, Alojail M
BMC Med Imaging
. 2024 Jul;
24(1):195.
PMID: 39085829
No abstract available.
6.
T R M, Gupta M, T A A, V V, Geman O, Kumar V D
J Neurosci Methods
. 2024 Jul;
410:110227.
PMID: 39038716
Background: Accurately diagnosing brain tumors from MRI scans is crucial for effective treatment planning. While traditional methods heavily rely on radiologist expertise, the integration of AI, particularly Convolutional Neural Networks...
7.
S Y, Jeya J, T R M, Khan S, Alzahrani S, Alojail M
BMC Med Imaging
. 2024 Jul;
24(1):176.
PMID: 39030496
Medical imaging stands as a critical component in diagnosing various diseases, where traditional methods often rely on manual interpretation and conventional machine learning techniques. These approaches, while effective, come with...
8.
AlBalawi E, T R M, Thakur A, Vinoth Kumar V, Gupta M, Khan S, et al.
BMC Med Imaging
. 2024 Jun;
24(1):161.
PMID: 38943071
No abstract available.
9.
AlBalawi E, T R M, Thakur A, Vinoth Kumar V, Gupta M, Khan S, et al.
BMC Med Imaging
. 2024 May;
24(1):110.
PMID: 38750436
Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex...
10.
M M, T R M, V V, Guluwadi S
BMC Med Imaging
. 2024 May;
24(1):107.
PMID: 38734629
This study addresses the critical challenge of detecting brain tumors using MRI images, a pivotal task in medical diagnostics that demands high accuracy and interpretability. While deep learning has shown...