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A survey on artificial intelligence in histopathology image analysis
The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …
dramatically transformed pathologists' workflow and allowed the use of computer systems in …
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
CAM-VT: A weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer
Z Fan, X Wu, C Li, H Chen, W Liu, Y Zheng… - Computers in Biology …, 2023 - Elsevier
Cervical cancer is the fourth most common cancer among women, and cytopathological
images are often used to screen for this cancer. However, manual examination is very …
images are often used to screen for this cancer. However, manual examination is very …
Detection of cervical cancer cells based on strong feature CNN-SVM network
AD Jia, BZ Li, CC Zhang - Neurocomputing, 2020 - Elsevier
Traditional screening of cervical cells largely depends on the experience of pathologists,
which also has the problem of low accuracy and poor efficiency. Medical image processing …
which also has the problem of low accuracy and poor efficiency. Medical image processing …
A survey for cervical cytopathology image analysis using deep learning
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …
Deep learning based HEp-2 image classification: A comprehensive review
Classification of HEp-2 cell patterns plays a significant role in the indirect
immunofluorescence test for identifying autoimmune diseases in the human body. Many …
immunofluorescence test for identifying autoimmune diseases in the human body. Many …
[HTML][HTML] Hybrid loss-constrained lightweight convolutional neural networks for cervical cell classification
Artificial intelligence (AI) technologies have resulted in remarkable achievements and
conferred massive benefits to computer-aided systems in medical imaging. However, the …
conferred massive benefits to computer-aided systems in medical imaging. However, the …