Dense convolutional network and its application in medical image analysis
T Zhou, XY Ye, HL Lu, X Zheng, S Qiu… - BioMed Research …, 2022 - Wiley Online Library
Dense convolutional network (DenseNet) is a hot topic in deep learning research in recent
years, which has good applications in medical image analysis. In this paper, DenseNet is …
years, which has good applications in medical image analysis. In this paper, DenseNet is …
[HTML][HTML] A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great
significance to human beings. However, the traditional manual microscopic detection …
significance to human beings. However, the traditional manual microscopic detection …
Transmil: Transformer based correlated multiple instance learning for whole slide image classification
Multiple instance learning (MIL) is a powerful tool to solve the weakly supervised
classification in whole slide image (WSI) based pathology diagnosis. However, the current …
classification in whole slide image (WSI) based pathology diagnosis. However, the current …
[HTML][HTML] Autoencoders and their applications in machine learning: a survey
K Berahmand, F Daneshfar, ES Salehi, Y Li… - Artificial Intelligence …, 2024 - Springer
Autoencoders have become a hot researched topic in unsupervised learning due to their
ability to learn data features and act as a dimensionality reduction method. With rapid …
ability to learn data features and act as a dimensionality reduction method. With rapid …
Bi-directional weakly supervised knowledge distillation for whole slide image classification
Computer-aided pathology diagnosis based on the classification of Whole Slide Image
(WSI) plays an important role in clinical practice, and it is often formulated as a weakly …
(WSI) plays an important role in clinical practice, and it is often formulated as a weakly …
Application of transfer learning and ensemble learning in image-level classification for breast histopathology
Background Breast cancer has the highest prevalence among all cancers in women
globally. The classification of histopathological images in the diagnosis of breast cancers is …
globally. The classification of histopathological images in the diagnosis of breast cancers is …
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 …
[HTML][HTML] Multi-modal medical image classification using deep residual network and genetic algorithm
Artificial intelligence (AI) development across the health sector has recently been the most
crucial. Early medical information, identification, diagnosis, classification, then analysis …
crucial. Early medical information, identification, diagnosis, classification, then analysis …
TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos
The detection of tiny objects in microscopic videos is a problematic point, especially in large-
scale experiments. For tiny objects (such as sperms) in microscopic videos, current detection …
scale experiments. For tiny objects (such as sperms) in microscopic videos, current detection …
[HTML][HTML] A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
P Jiang, X Li, H Shen, Y Chen, L Wang, H Chen… - Artificial Intelligence …, 2023 - Springer
Cervical cancer is one of the most common cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …