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Showing 7414-7434 of 10,298 articles

Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia.

This study aims to develop and validate a machine learning (ML) predictive model for assessing morta...

Jul 2024 39058887

Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.

The development of omics technologies has driven a profound expansion in the scale of biological dat...

Jul 2024 39082652

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

Deploying deep learning-based imaging tools across various clinical sites poses significant challe...

Jul 2024 http://arxiv.org/abs/2407.13632v1

Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning

Gram staining has been one of the most frequently used staining protocols in microbiology for over...

Jul 2024 http://arxiv.org/abs/2407.12337v1

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks

Histopathological images are widely used for the analysis of diseased (tumor) tissues and patient ...

Jul 2024 http://arxiv.org/abs/2407.08625v1

Can virtual staining for high-throughput screening generalize?

The large volume and variety of imaging data from high-throughput screening (HTS) in the pharmaceu...

Jul 2024 http://arxiv.org/abs/2407.06979v3

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

Whole slide imaging is routinely adopted for carcinoma diagnosis and prognosis. Abundant experienc...

Jul 2024 http://arxiv.org/abs/2407.05603v1

Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network

Accurate and reliable Magnetic Resonance Imaging (MRI) analysis is particularly important for adap...

Jul 2024 http://arxiv.org/abs/2407.05521v1

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

Optic deconvolution in light microscopy (LM) refers to recovering the object details from images, ...

Jul 2024 http://arxiv.org/abs/2407.03239v2

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis.

Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of...

Jul 2024 39082680

Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.

Purpose To investigate the issues of generalizability and replication of deep learning models by ass...

Jul 2024 38717291

Histological tissue classification with a novel statistical filter-based convolutional neural network.

Deep networks have been of considerable interest in literature and have enabled the solution of rece...

Jul 2024 38868912

Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning.

Basal cell carcinoma (BCC), the most common keratinocyte cancer, presents a substantial public healt...

Jul 2024 39036889

DeepSeg: A transfer-learning segmentation tool for limited sample training of nonhuman primate MRI.

Tissue segmentation of individual magnetic resonance imaging (MRI) is a fundamental step in building...

Jul 2024 40031470

An Instant Tumor Detection Method for Ex-vivo Tissue Palpation Utilizing Self-learning High-density Flexible Tactile Sensor Array Based on Attention Mechanism Neural Network.

This paper reports an innovative and instant method for tumor detection. We delineate the tactile si...

Jul 2024 40039257

PET Myocardial Flow Reserve Estimation from 4D-Coronary-CT using Deep Neural Network.

The myocardial flow reserve (MFR) index proves to be a highly effective means of assessing the sever...

Jul 2024 40039304

High-rate emphasized DeepLabV3Plus for Semantic Segmentation of Breast Cancer-related Hematoxylin and Eosin-stained Images.

Deep learning algorithms have been successfully adopted to extract meaningful information from digit...

Jul 2024 40039512

Browse Categories

Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia.

Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks

Can virtual staining for high-throughput screening generalize?

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis.

Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.

Histological tissue classification with a novel statistical filter-based convolutional neural network.

Metabolomic profiling and accurate diagnosis of basal cell carcinoma by MALDI imaging and machine learning.

DeepSeg: A transfer-learning segmentation tool for limited sample training of nonhuman primate MRI.

An Instant Tumor Detection Method for Ex-vivo Tissue Palpation Utilizing Self-learning High-density Flexible Tactile Sensor Array Based on Attention Mechanism Neural Network.

PET Myocardial Flow Reserve Estimation from 4D-Coronary-CT using Deep Neural Network.

High-rate emphasized DeepLabV3Plus for Semantic Segmentation of Breast Cancer-related Hematoxylin and Eosin-stained Images.

Beyond Dysplasia: Uncovering Structure in Oral Potentially Malignant Diseases with Unsupervised Contrastive Learning.

A CNN-GNN Approach for Polarity Vectors Prediction in 3D Microscopy Images.

C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading.

Automated Intraoperative Visual Detection of Pediatric Epileptogenic Brain Lesions Using a Machine Learning Classifier.

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