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Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification

Computer methods and programs in biomedicine, 2020-09, Vol.193, p.105475-105475, Article 105475

2020

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Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization

Computational and structural biotechnology journal, 2024-12, Vol.23, p.669-678

2024

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Special Issue on “Advances in Skin Lesion Image Analysis Using Machine Learning Approaches”

Diagnostics (Basel), 2022-08, Vol.12 (8), p.1928

2022

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FUSeg: The Foot Ulcer Segmentation Challenge

Information (Basel), 2024-03, Vol.15 (3), p.140

2024

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A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images

Frontiers in medicine, 2022-11, Vol.9, p.978146-978146

2022

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Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation

Diagnostics (Basel), 2021-05, Vol.11 (6), p.967

2021

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The effects of skin lesion segmentation on the performance of dermatoscopic image classification

Computer methods and programs in biomedicine, 2020-12, Vol.197, p.105725-105725, Article 105725

2020

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Fusing fine-tuned deep features for skin lesion classification

Computerized medical imaging and graphics, 2019-01, Vol.71, p.19-29

2019

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Skin Lesion Classification Using Hybrid Deep Neural Networks

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.1229-1233

2019

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IEEE_Xplore

CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images

Computers in biology and medicine, 2021-05, Vol.132, p.104349-104349, Article 104349

2021

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Automatic brain segmentation using artificial neural networks with shape context

Pattern recognition letters, 2018-01, Vol.101, p.74-79

2018

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Breast MRI radiomics and machine learning-based predictions of response to neoadjuvant chemotherapy - How are they affected by variations in tumor delineation?

Computational and structural biotechnology journal, 2024-12, Vol.23, p.52-63

2024

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Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.4358-4364

2022

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IEEE_Xplore

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.4047-4053

2021

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NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images

Scientific data, 2024-03, Vol.11 (1), p.295-295

2024

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NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H E-stained histological images

Scientific data, 2024-03, Vol.11 (1), p.1-7

2024

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Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion

15th International Conference on Image Analysis and Recognition, ICIAR 2018, 2018, p.754-762

2018

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Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks

Pattern Recognition. ICPR International Workshops and Challenges, p.344-356

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Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images

Applications of Medical Artificial Intelligence, 2022, Vol.13540, p.108-117

2022

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A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues

Digital Pathology, p.75-82

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Bi-tubular corrugated composite conical–cylindrical tube for energy absorption in axial and oblique loading: Analysis and optimization

Journal of composite materials, 2020-08, Vol.54 (18), p.2399-2432

2020

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Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification

Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization

Special Issue on “Advances in Skin Lesion Image Analysis Using Machine Learning Approaches”

FUSeg: The Foot Ulcer Segmentation Challenge

A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images

Investigating the Impact of the Bit Depth of Fluorescence-Stained Images on the Performance of Deep Learning-Based Nuclei Instance Segmentation

The effects of skin lesion segmentation on the performance of dermatoscopic image classification

Fusing fine-tuned deep features for skin lesion classification

Skin Lesion Classification Using Hybrid Deep Neural Networks

CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images

Automatic brain segmentation using artificial neural networks with shape context

Breast MRI radiomics and machine learning-based predictions of response to neoadjuvant chemotherapy - How are they affected by variations in tumor delineation?

Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification

NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images

NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H E-stained histological images

Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion

Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images

A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues

Bi-tubular corrugated composite conical–cylindrical tube for energy absorption in axial and oblique loading: Analysis and optimization

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