Huadeng Wang
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View article: An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images
An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images Open
Background In vivo confocal microscopy (IVCM) is a crucial imaging modality for assessing corneal diseases, yet distinguishing pathological features from normal variations remains challenging due to the complex multi-layered corneal struct…
View article: Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration Open
Image-level weakly supervised semantic segmentation (WSSS) reduces the dependence on high-quality data annotation, which plays a crucial role in computational pathology. Benefit from the ability to localize the objects with only binary lab…
View article: Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention
Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention Open
Accurate and automated gland segmentation on pathological images can assist\npathologists in diagnosing the malignancy of colorectal adenocarcinoma.\nHowever, due to various gland shapes, severe deformation of malignant glands,\nand overla…
View article: Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation Open
Mitosis detection is one of the fundamental tasks in computational pathology, which is extremely challenging due to the heterogeneity of mitotic cell. Most of the current studies solve the heterogeneity in the technical aspect by increasin…
View article: A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch Open
Mitosis detection is one of the challenging problems in computational pathology, and mitotic count is an important index of cancer grading for pathologists. However, current counts of mitotic nuclei rely on pathologists looking microscopic…
View article: A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification Open
Mitosis nuclei count is one of the important indicators for the pathological diagnosis of breast cancer. The manual annotation needs experienced pathologists, which is very time-consuming and inefficient. With the development of deep learn…
View article: A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling
A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling Open
Ray-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as sl…
View article: A Novel Approach for Indoor Positioning Based on RFID and UWB
A Novel Approach for Indoor Positioning Based on RFID and UWB Open
In recent years, with the rapid development of mobile communication network, wireless network technology and pervasive computing, the demand of location-based service, especially indoor positioning, is becoming increasingly urgent. Indoor …