Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Machine learning based liver disease diagnosis: A systematic review
The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
Texture feature extraction methods: A survey
A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
A novel transfer learning-based model for ultrasound breast cancer image classification
Breast cancer is the second most dangerous disease for women after lung cancer. As in
most diseases, an early detection and the corresponding treatment of breast cancer …
most diseases, an early detection and the corresponding treatment of breast cancer …
RETRACTED ARTICLE: Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color …
L Zhang, J Huang, L Liu - Journal of medical systems, 2019 - Springer
With the development of theories and technologies in medical imaging, most of the tumors
can be detected in the early stage. However, the nature of ovarian cysts lacks accurate …
can be detected in the early stage. However, the nature of ovarian cysts lacks accurate …
A multi-modal deep neural network for multi-class liver cancer diagnosis
Liver disease is a potentially asymptomatic clinical entity that may progress to patient death.
This study proposes a multi-modal deep neural network for multi-class malignant liver …
This study proposes a multi-modal deep neural network for multi-class malignant liver …
[HTML][HTML] Breast cancer diagnosis: A systematic review
X Wen, X Guo, S Wang, Z Lu, Y Zhang - Biocybernetics and Biomedical …, 2024 - Elsevier
The second-leading cause of death for women is breast cancer. Consequently, a precise
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
early diagnosis is essential. With the rapid development of artificial intelligence, computer …
Shape and texture aware facial expression recognition using spatial pyramid Zernike moments and law's textures feature set
VGV Mahesh, C Chen, V Rajangam, ANJ Raj… - IEEE …, 2021 - ieeexplore.ieee.org
Facial expression recognition (FER) requires better descriptors to represent the face
patterns as the facial region changes due to the movement of the face muscles during an …
patterns as the facial region changes due to the movement of the face muscles during an …