A review of deep transfer learning and recent advancements
Deep learning has been the answer to many machine learning problems during the past two
decades. However, it comes with two significant constraints: dependency on extensive …
decades. However, it comes with two significant constraints: dependency on extensive …
Domain adaptation for medical image analysis: a survey
Machine learning techniques used in computer-aided medical image analysis usually suffer
from the domain shift problem caused by different distributions between source/reference …
from the domain shift problem caused by different distributions between source/reference …
Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine
Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent
years and is being implemented in society. The medical field is no exception, and the clinical …
years and is being implemented in society. The medical field is no exception, and the clinical …
A multimodal transformer to fuse images and metadata for skin disease classification
G Cai, Y Zhu, Y Wu, X Jiang, J Ye, D Yang - The Visual Computer, 2023 - Springer
Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a
challenging task in the clinic. Utilizing deep learning to diagnose skin diseases could help to …
challenging task in the clinic. Utilizing deep learning to diagnose skin diseases could help to …
Universal adversarial attacks on deep neural networks for medical image classification
H Hirano, A Minagi, K Takemoto - BMC medical imaging, 2021 - Springer
Abstract Background Deep neural networks (DNNs) are widely investigated in medical
image classification to achieve automated support for clinical diagnosis. It is necessary to …
image classification to achieve automated support for clinical diagnosis. It is necessary to …
New trends in melanoma detection using neural networks: a systematic review
D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …
disease today. The high mortality rate associated with melanoma makes it necessary to …
Skin cancer classification with deep learning: a systematic review
Skin cancer is one of the most dangerous diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …
lesions at an early stage could aid clinical decision-making by providing an accurate …
Skin disease diagnosis with deep learning: A review
Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
Deep learning has demonstrated remarkable performance across various tasks in medical
imaging. However, these approaches primarily focus on supervised learning, assuming that …
imaging. However, these approaches primarily focus on supervised learning, assuming that …
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
gaps, constraints, and limitations in the field to provide an overview of current solutions used …