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A novel machine learning approach for predicting neoadjuvant chemotherapy response in breast cancer: integration of multimodal radiomics with clinical and …
The primary objective of this paper is to develop a machine learning-based approach
capable of predicting the treatment response of neoadjuvant chemotherapy (NAC) to …
capable of predicting the treatment response of neoadjuvant chemotherapy (NAC) to …
A novel machine learning-based classification framework for age-related macular degeneration (amd) diagnosis from fundus images
The increasing prevalence of eye disorders among the elderly has underscored the
importance of early detection through routine eye examinations. Age-related Macular …
importance of early detection through routine eye examinations. Age-related Macular …
A vision transformer approach for breast cancer classification in histopathology
Breast cancer is the second-leading cause of cancer-related deaths in women worldwide.
Early detection through regular screenings and self-examinations is vital to increasing …
Early detection through regular screenings and self-examinations is vital to increasing …
A novel Vit-based multi-scaled and rotation-invariance approach for precise differentiation between meningioma and solitary fibrous tumor
Meningioma (MEN) and Solitary Fibrous Tumor (SFT) pose challenges in diagnosis due to
their similar histological characteristics. Common diagnostic methods like …
their similar histological characteristics. Common diagnostic methods like …
Integrated Grading Framework for Histopathological Breast Cancer: Multi-level Vision Transformers, Textural Features, and Fusion Probability Network
Breast cancer (BC) remains a significant global health concern, necessitating accurate and
efficient diagnostic approaches. In this study, we propose a comprehensive framework that …
efficient diagnostic approaches. In this study, we propose a comprehensive framework that …
Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis
Breast cancer (BC) remains a significant global health challenge, impacting millions of lives
annually. Traditional histopathological analysis, while essential, can be subjective and time …
annually. Traditional histopathological analysis, while essential, can be subjective and time …
Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings
Personalized prediction of hormonal therapy response in Prostate Cancer (PC) is crucial for
planning effective treatment. In this paper, we propose a novel framework to combine MRI …
planning effective treatment. In this paper, we propose a novel framework to combine MRI …
Twoviewdensity-Pvt: A Vision Transformer System for Accurate Bi-Rads Classification in Breast Cancer Grading From Mammogram Images
I Abdelhalim, Y Almalki, A Abbas… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In this paper, a novel vision transformer-based system, TwoViewDensity-PVT, is designed
for classifying Breast Cancer (BC) into four BI-RADS categories from mammogram images. It …
for classifying Breast Cancer (BC) into four BI-RADS categories from mammogram images. It …
A Novel Approach for 3D Renal Segmentation Using a Modified GAN Model and Texture Analysis
This paper introduces a novel framework for renal segmentation of kidney transplant
patients suspected of renal rejection. The framework applies image processing techniques …
patients suspected of renal rejection. The framework applies image processing techniques …
An Optimized Framework Development of ABC Algorithm Along with SVMP Algorithm for Lung Cancer Detection
In medicine, early detection of lung cancer is essential for successful treatment regimens.
Despite the small sample size, cancer databases often include gene expression levels as …
Despite the small sample size, cancer databases often include gene expression levels as …