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08/24/2023
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
Binary Code Embedding (BCE) has important applications in various revers...
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06/21/2023
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Spiking Neural Networks (SNNs) have garnered widespread interest for the...
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05/25/2022
jTrans: Jump-Aware Transformer for Binary Code Similarity
Binary code similarity detection (BCSD) has important applications in va...
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11/24/2021
Meta Mask Correction for Nuclei Segmentation in Histopathological Image
Nuclei segmentation is a fundamental task in digital pathology analysis ...
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11/09/2021
PIMIP: An Open Source Platform for Pathology Information Management and Integration
Digital pathology plays a crucial role in the development of artificial ...
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10/26/2021
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data
Personalized diagnoses have not been possible due to sear amount of data...
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10/26/2021
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image
Pathological diagnosis is the gold standard for cancer diagnosis, but it...
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10/26/2021
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning
Diagnostic pathology, which is the basis and gold standard of cancer dia...
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08/12/2020
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images
Obtaining a large amount of labeled data in medical imaging is laborious...
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01/15/2020
OpenHI2 – Open source histopathological image platform
Transition from conventional to digital pathology requires a new categor...
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01/14/2020
Effects of annotation granularity in deep learning models for histopathological images
Pathological is crucial to cancer diagnosis. Usually, Pathologists draw ...
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07/13/2019
