Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
Survey of AI-driven techniques for ovarian cancer detection: state-of-the-art methods and open challenges
Early detection is crucial for increasing the chance of survival in Ovarian Cancer (OC), as it
is a very challenging illness to treat that often leads to death. Ultrasound (UT), Magnetic …
is a very challenging illness to treat that often leads to death. Ultrasound (UT), Magnetic …
Dfu-siam a novel diabetic foot ulcer classification with deep learning
Diabetes affects roughly 537 million people in the world, and it is predicted to reach 783
million by 2045. Diabetic Foot Ulcer (DFU) is a major issue with diabetes that may lead to …
million by 2045. Diabetic Foot Ulcer (DFU) is a major issue with diabetes that may lead to …
Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials
Steady-state visually evoked potentials (SSVEP) are stochastic and nonstationary bioelectric
signals. Because of these properties, it is difficult to achieve high classification accuracy …
signals. Because of these properties, it is difficult to achieve high classification accuracy …
[HTML][HTML] MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets
Deep learning (DL) applied to breast tissue segmentation in magnetic resonance imaging
(MRI) has received increased attention in the last decade, however, the domain shift which …
(MRI) has received increased attention in the last decade, however, the domain shift which …
STRAMPN: Histopathological image dataset for ovarian cancer detection incorporating AI-based methods
Ovarian cancer, characterized by uncontrolled cell growth in the ovaries, poses a significant
threat to women's reproductive health. Often referred to as the “silent killer,” it is notorious for …
threat to women's reproductive health. Often referred to as the “silent killer,” it is notorious for …
Infant death prediction using machine learning: a population-based retrospective study
Z Zhang, Q ** of tuberculosis bacteria using a combination of deep learning and SVMs
Successful treatment of pulmonary tuberculosis (TB) depends on early diagnosis and careful
monitoring of treatment response. Identification of acid-fast bacilli by fluorescence …
monitoring of treatment response. Identification of acid-fast bacilli by fluorescence …
[HTML][HTML] Rapid detection of liver metastasis risk in colorectal cancer patients through blood test indicators
Z Yu, G Li, W Xu - Frontiers in Oncology, 2024 - pmc.ncbi.nlm.nih.gov
Introduction Colorectal cancer (CRC) is one of the most common malignancies, with liver
metastasis being its most common form of metastasis. The diagnosis of colorectal cancer …
metastasis being its most common form of metastasis. The diagnosis of colorectal cancer …