Research graph
References from Explainable AI framework for skin lesion imaging based cancer detection. Local targets link to admitted publications; unresolved targets remain external evidence.
Melanoma
10.1016/s0140-6736(18)31559-9 · 2018 · External reference
Melanoma treatment in review
10.2147/itt.s134842 · 2018 · External reference
Skin cancer and new treatment perspectives: a review
10.1016/j.canlet.2014.11.001 · 2015 · External reference
Dermoscopy of pigmented skin lesions
10.1016/j.jaad.2001.11.001 · 2005 · External reference
Noninvasive diagnostic techniques in the preoperative setting of Mohs micrographic surgery: A review of the literature
10.1111/dth.15832 · 2022 · External reference
Improving CNN predictive accuracy in COVID-19 health analytics
10.1038/s41598-025-15218-y · 2025 · External reference
Deep learning approach for automated hMPV classification
10.1038/s41598-025-14467-1 · 2025 · External reference
COVID-19 health data prediction: a critical evaluation of CNN-based approaches
10.1038/s41598-025-92464-0 · 2025 · External reference
Boosting skin cancer diagnosis accuracy with ensemble approach
10.1038/s41598-024-84864-5 · 2025 · External reference
Advancing skin cancer prediction using ensemble models
10.3390/computers13070157 · 2024 · External reference
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities
10.1016/j.compbiomed.2020.104065 · 2020 · External reference
Risks inherent in the digital surveillance economy: A research agenda
10.1177/0268396218815559 · 2019 · External reference
Unresolved reference
External reference
A unified approach to interpreting model predictions
2017 · External reference
Machine learning empowered brain tumor segmentation and grading model for lifetime prediction
10.1109/access.2023.3326841 · 2023 · External reference
Deep learning approach for efficient 5G LDPC decoding in IoT
2024 · External reference
Class-aware feature attention-based semantic segmentation on hyperspectral images
10.1371/journal.pone.0309997 · 2025 · External reference
Toward 6G: An overview of the next generation of intelligent network connectivity
10.1109/access.2024.3523327 · 2025 · External reference
A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation
10.1038/s41598-024-81648-9 · 2024 · External reference
CNN-based approach for enhancing 5G LDPC code decoding performance
10.1109/access.2024.3420106 · 2024 · External reference
Enhancing handwritten text recognition accuracy with gated mechanisms
10.1038/s41598-024-67738-8 · 2024 · External reference
Deep learning assisted LDPC decoding for 5G IoT networks in fading environments
10.1038/s41598-025-21382-y · 2025 · External reference
A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
10.1007/s11042-023-18012-y · 2024 · External reference
COVID-19 data analytics using extended convolutional technique
10.1155/2022/4578838 · 2022 · External reference
Hybrid AI and semiconductor approaches for power quality improvement
10.1038/s41598-025-11116-5 · 2025 · External reference
Explainable artificial intelligence in skin cancer recognition: A systematic review
10.1016/j.ejca.2022.02.025 · 2022 · External reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · External reference
Human-computer collaboration for skin cancer recognition
10.1038/s41591-020-0942-0 · 2020 · External reference
Axiomatic attribution for deep networks
2017 · External reference
Improving the explainability of skin cancer diagnosis using CBIR
2021 · External reference
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
10.1038/s41467-025-59532-5 · 2025 · External reference
Unresolved reference
External reference
Concept whitening for interpretable image recognition
10.1038/s42256-020-00265-z · 2020 · External reference
Learning important features through propagating activation differences
2017 · External reference
A survey on artificial intelligence in histopathology image analysis
10.1002/widm.1474 · 2022 · External reference
Sanity checks for saliency maps
2018 · External reference
Content-based image retrieval and feature extraction: A comprehensive review
10.1155/2019/9658350 · 2019 · External reference
FeatureEnVi: Visual analytics for feature engineering using stepwise selection and semi-automatic extraction approaches
10.1109/tvcg.2022.3141040 · 2022 · External reference
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
10.1038/sdata.2018.161 · 2018 · External reference
Deep learning-based transfer learning for classification of skin cancer
10.3390/s21238142 · 2021 · External reference
A survey on image data augmentation for deep learning
10.1186/s40537-019-0197-0 · 2019 · External reference
Color texture analysis based on fractal descriptors
10.1016/j.patcog.2011.11.009 · 2012 · External reference
Theoretical and experimental comparison of different approaches for color texture classification
10.1117/1.3651210 · 2011 · External reference
Color texture classification by integrative Co-occurrence matrices
10.1016/j.patcog.2003.09.010 · 2004 · External reference
Texture feature extraction methods: A survey
10.1109/access.2018.2890743 · 2019 · External reference
LOAD: Local orientation adaptive descriptor for texture and material classification
10.1016/j.neucom.2015.07.142 · 2016 · External reference
Local binary features for texture classification: Taxonomy and experimental study
10.1016/j.patcog.2016.08.032 · 2017 · External reference
Skin cancer classification using explainable artificial intelligence on pre-extracted image features
2023 · External reference
A deep learning approach based on explainable artificial intelligence for skin lesion classification
10.1109/access.2022.3217217 · 2022 · External reference
MLCM: Multi-label confusion matrix
10.1109/access.2022.3151048 · 2022 · External reference
