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08/21/2023
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model
Due to the high heterogeneity and clinical characteristics of cancer, th...
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08/21/2023
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images
Histopathology image segmentation is the gold standard for diagnosing ca...
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08/21/2023
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images
Histopathological images are the gold standard for diagnosing liver canc...
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07/09/2023
Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data
Due to the high heterogeneity and clinical characteristics of cancer, th...
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10/20/2022
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification
Colorectal cancer (CRC) is among the top three malignant tumor types in ...
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05/31/2022
A review of machine learning approaches, challenges and prospects for computational tumor pathology
Computational pathology is part of precision oncology medicine. The inte...
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04/29/2022
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
The degree of malignancy of osteosarcoma and its tendency to metastasize...
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08/22/2021
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy
Diabetic retinopathy(DR) is the main cause of blindness in diabetic pati...
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10/29/2020
Identification of complex mixtures for Raman spectroscopy using a novel scheme based on a new multi-label deep neural network
With noisy environment caused by fluoresence and additive white noise as...
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09/09/2020
Method for classifying a noisy Raman spectrum based on a wavelet transform and a deep neural network
This paper proposes a new framework based on a wavelet transform and dee...
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09/09/2020
