Fairness of artificial intelligence in healthcare: review and recommendations
In this review, we address the issue of fairness in the clinical integration of artificial
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a …
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a …
Medical image data augmentation: techniques, comparisons and interpretations
E Goceri - Artificial Intelligence Review, 2023 - Springer
Designing deep learning based methods with medical images has always been an attractive
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
area of research to assist clinicians in rapid examination and accurate diagnosis. Those …
The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review
Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
Combining deep learning and handcrafted radiomics for classification of suspicious lesions on contrast-enhanced mammograms
Background Handcrafted radiomics and deep learning (DL) models individually achieve
good performance in lesion classification (benign vs malignant) on contrast-enhanced …
good performance in lesion classification (benign vs malignant) on contrast-enhanced …
Deep Learning for Automated Lesion Detection in Mammography
T Marimuthu, VA Rajan, GV Londhe… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Deep learning for automated lesion detection in mammography has gained widespread
attention due to its potential to reduce the time needed for radiologists to detect lesions …
attention due to its potential to reduce the time needed for radiologists to detect lesions …
Evaluating recalibrating AI models for breast cancer diagnosis in a new context: insights from transfer learning, image enhancement and high-quality training data …
Simple Summary Breast cancer is one of the leading causes of cancer-related death in
women. The early detection of breast cancer with screening mammograms plays a pivotal …
women. The early detection of breast cancer with screening mammograms plays a pivotal …
[HTML][HTML] Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future
The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the
industry, offering significant improvements in diagnostic accuracy, efficiency, and patient …
industry, offering significant improvements in diagnostic accuracy, efficiency, and patient …
Data set terminology of deep learning in medicine: a historical review and recommendation
SL Walston, H Seki, H Takita, Y Mitsuyama… - Japanese Journal of …, 2024 - Springer
Medicine and deep learning-based artificial intelligence (AI) engineering represent two
distinct fields each with decades of published history. The current rapid convergence of …
distinct fields each with decades of published history. The current rapid convergence of …
A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification
MA Karagoz, OU Nalbantoglu - Applied Intelligence, 2024 - Springer
Deep learning models have found extensive application in medical imaging analysis,
particularly in mammography classification. However, these models encounter challenges …
particularly in mammography classification. However, these models encounter challenges …
Nervus: a comprehensive deep learning classification, regression, and prognostication tool for both medical image and clinical data analysis
T Matsumoto, SL Walston, Y Miki, D Ueda - arXiv preprint arXiv …, 2022 - arxiv.org
The goal of our research is to create a comprehensive and flexible library that is easy to use
for medical imaging research, and capable of handling grayscale images, multiple inputs …
for medical imaging research, and capable of handling grayscale images, multiple inputs …