%ref1 
@inproceedings{he2016deep,
  title={Deep Residual Learning for Image Recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={770--778},
  year={2016},
  organization={IEEE}
}


%ref2
@article{desai2021anatomization,
  title={An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)},
  author={Desai, Meha and Shah, Manan},
  journal={Clinical eHealth},
  volume={4},
  pages={1--11},
  year={2021},
  publisher={Elsevier}
}

%ref3
@inproceedings{yadav2024resnet,
  title={ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification.},
  author={Yadav, Agnesh Chandra and Kolekar, Maheshkumar H and Zope, Mukesh Kumar},
  booktitle={BIOSTEC (1)},
  pages={763--769},
  year={2024}
}

%ref4
@article{li2025vision,
  title={Vision transformer-based multimodal fusion network for classification of tumor malignancy on breast ultrasound: A retrospective multicenter study},
  author={Li, Mengying and Fang, Yin and Shao, Jiong and Jiang, Yan and Xu, Guoping and Cui, Xin-wu and Wu, Xinglong},
  journal={International Journal of Medical Informatics},
  volume={196},
  pages={105793},
  year={2025},
  publisher={Elsevier}
}

%ref5
@article{bajcsievaluating,
  title={Evaluating ResNet-Based Self-Explanatory Models for Breast Lesion Classification},
  author={Bajcsi, Ad{\'e}l and Chira, Camelia and Szenkovits, Annam{\'a}ria}
}


%ref6
@article{wang2024cnn,
  title={CNN-based cross-modality fusion for enhanced breast cancer detection using mammography and ultrasound},
  author={Wang, Yi-Ming and Wang, Chi-Yuan and Liu, Kuo-Ying and Huang, Yung-Hui and Chen, Tai-Been and Chiu, Kon-Ning and Liang, Chih-Yu and Lu, Nan-Han},
  journal={Tomography},
  volume={10},
  number={12},
  pages={2038--2057},
  year={2024},
  publisher={MDPI}
}


%ref7
@article{tagnamas2024multi,
  title={Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images},
  author={Tagnamas, Jaouad and Ramadan, Hiba and Yahyaouy, Ali and Tairi, Hamid},
  journal={Visual Computing for Industry, Biomedicine, and Art},
  volume={7},
  number={1},
  pages={2},
  year={2024},
  publisher={Springer}
}


%ref8
@inproceedings{singh2024enhanced,
  title={Enhanced Breast Cancer Detection Using a Hybrid Vision Transformer and CNN Model with Optimized Feature Integration},
  author={Singh, Uday Pratap and Kumari, Bersha and Siddiqui, Ebtasam Ahmad and Tanveer, Adil},
  booktitle={Proceedings of the 6th International Conference on Information Management \& Machine Intelligence},
  pages={1--6},
  year={2024}
}

%ref9
@article{qasrawi2025advancing,
  title={Advancing breast cancer detection in ultrasound images using a novel hybrid ensemble deep learning model},
  author={Qasrawi, Radwan and Daraghmeh, Omar and Thwib, Suliman and Qdaih, Ibrahem and Issa, Ghada and Polo, Stephanny Vicuna and Owienah, Haneen and Al-Halawa, Diala Abu and Atari, Siham},
  journal={Intelligence-Based Medicine},
  volume={11},
  pages={100222},
  year={2025},
  publisher={Elsevier}
}

%ref10
@article{panigrahi2024m,
  title={m BCC f: Multilevel Breast Cancer Classification Framework Using Radiomic Features},
  author={Panigrahi, Lipismita and Chandra, Tej Bahadur and Srivastava, Atul Kumar and Varshney, Neeraj and Singh, Kamred Udham and Mahato, Shambhu},
  journal={International Journal of Intelligent Systems},
  volume={2024},
  number={1},
  pages={6631016},
  year={2024},
  publisher={Wiley Online Library}
}

%ref11
@inproceedings{paschali2019manifold,
  title={Manifold exploring data augmentation with geometric transformations for increased performance and robustness},
  author={Paschali, Magdalini and Simson, Walter and Roy, Abhijit Guha and G{\"o}bl, R{\"u}diger and Wachinger, Christian and Navab, Nassir},
  booktitle={International Conference on Information Processing in Medical Imaging},
  pages={517--529},
  year={2019},
  organization={Springer}
}


%ref12
@article{song2023quantum,
  title={Quantum geometric transformation based on QIRHSI quantum color images},
  author={Song, Xianhua and Chen, Guanglong and Abd El-Latif, Ahmed A and Wani, Mudasir Ahmad and Abd-El-Atty, Bassem},
  journal={IEEE Access},
  volume={11},
  pages={21883--21899},
  year={2023},
  publisher={IEEE}
}


%ref13
@article{ohmatsu2019visual,
  title={Visual search pattern during free viewing of horizontally flipped images in patients with unilateral spatial neglect},
  author={Ohmatsu, Satoko and Takamura, Yusaku and Fujii, Shintaro and Tanaka, Kohei and Morioka, Shu and Kawashima, Noritaka},
  journal={Cortex},
  volume={113},
  pages={83--95},
  year={2019},
  publisher={Elsevier}
}

%ref14
@article{lin2001rotation,
  title={Rotation, scale, and translation resilient watermarking for images},
  author={Lin, C-Y and Wu, Min and Bloom, Jeffrey A and Cox, Ingemar J and Miller, Matthew L and Lui, Yui Man},
  journal={IEEE Transactions on image processing},
  volume={10},
  number={5},
  pages={767--782},
  year={2001},
  publisher={IEEE}
}

%ref15
@article{hochreiter1998vanishing,
  title={The vanishing gradient problem during learning recurrent neural nets and problem solutions},
  author={Hochreiter, Sepp},
  journal={International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  volume={6},
  number={02},
  pages={107--116},
  year={1998},
  publisher={World Scientific}
}

%ref16
@article{yan2025using,
  title={Using artificial intelligence system for assisting the classification of breast ultrasound glandular tissue components in dense breast tissue},
  author={Yan, Hongju and Dai, Chaochao and Xu, Xiaojing and Qiu, Yuxuan and Yu, Lifang and Huang, Lewen and Lin, Bei and Huang, Jianan and Jiang, Chenxiang and Shen, Yingzhao and others},
  journal={Scientific Reports},
  volume={15},
  number={1},
  pages={11754},
  year={2025},
  publisher={Nature Publishing Group UK London}
}

%ref17
@inproceedings{irie2020much,
  title={How much self-attention do we need? Trading attention for feed-forward layers},
  author={Irie, Kazuki and Gerstenberger, Alexander and Schl{\"u}ter, Ralf and Ney, Hermann},
  booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={6154--6158},
  year={2020},
  organization={IEEE}
}

%ref18
@article{zhu2024radiomics,
  title={A Radiomics-Embedded Vision Transformer for Breast Cancer Ultrasound Image Classification Efficiency Improvement},
  author={Zhu, Haiming},
  year={2024}
}

%ref19
@article{wang2021filter,
  title={Filter pruning with a feature map entropy importance criterion for convolution neural networks compressing},
  author={Wang, Jielei and Jiang, Ting and Cui, Zongyong and Cao, Zongjie},
  journal={Neurocomputing},
  volume={461},
  pages={41--54},
  year={2021},
  publisher={Elsevier}
}

%ref20
@article{latha2024revolutionizing,
  title={Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI},
  author={Latha, M and Kumar, P Santhosh and Chandrika, R Roopa and Mahesh, TR and Kumar, V Vinoth and Guluwadi, Suresh},
  journal={BMC Medical Imaging},
  volume={24},
  number={1},
  pages={230},
  year={2024},
  publisher={Springer}
}

%ref21
@article{pourmadadi2024breast,
  title={Breast cancer detection based on cancer antigen 15-3; emphasis on optical and electrochemical methods: A review},
  author={Pourmadadi, Mehrab and Ghaemi, Amirhossein and Khanizadeh, Amirhossein and Yazdian, Fatemeh and Mollajavadi, Yasin and Arshad, Rabia and Rahdar, Abbas},
  journal={Biosensors and Bioelectronics},
  volume={260},
  pages={116425},
  year={2024},
  publisher={Elsevier}
}

%ref22
@misc{OpenAI_ChatGPT_GPT5.1_2025,
  title = {ChatGPT (GPT-5.1 version) [Large language model]},
  author = {{OpenAI}},
  year = {2025},
  url = {https://chat.openai.com/chat},
  note = {Accessed 2025-11-28}
}