Research map: Integrated Intratumoral and Peritumoral Ultrasound Radiomics Models for Breast Nodule Diagnosis Using Machine Learning

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  1. Hallmarks of Cancer: The Next Generation · Douglas Hanahan · 2011 · 67934 citations · Cited by this paper
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  19. Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer · Jie Ding · 2020 · 90 citations · Cited by this paper
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  21. Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor · Harmandeep Singh · 2022 · 49 citations · Cited by this paper
  22. Optimizing breast cancer diagnosis with photoacoustic imaging: An analysis of intratumoral and peritumoral radiomics · Zhibin Huang · 2024 · 46 citations · Cited by this paper
  23. Inter- and Intra-Observer Agreement in Ultrasound BI-RADS Classification and Real-Time Elastography Tsukuba Score Assessment of Breast Lesions · Fabienne Dominique Schwab · 2016 · 45 citations · Cited by this paper
  24. Grayscale Ultrasound Radiomic Features and Shear-Wave Elastography Radiomic Features in Benign and Malignant Breast Masses · Ji Hyun Youk · 2019 · 42 citations · Cited by this paper
  25. Difficulties and Errors in Diagnosis of Breast Neoplasms · Catherine S. Giess · 2012 · 41 citations · Cited by this paper
  26. The diagnostic performance of ultrasound computer-aided diagnosis system for distinguishing breast masses: a prospective multicenter study · Qi Wei · 2022 · 36 citations · Cited by this paper
  27. Combining Radiomics and Autoencoders to Distinguish Benign and Malignant Breast Tumors on US Images · Zuzanna Magnuska · 2024 · 34 citations · Cited by this paper
  28. MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer · Minping Hong · 2024 · 25 citations · Cited by this paper
  29. Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features · Zhi-Liang Hong · 2022 · 24 citations · Cited by this paper
  30. Multiregional radiomic model for breast cancer diagnosis: value of ultrasound-based peritumoral and parenchymal radiomics · Suping Guo · 2023 · 15 citations · Cited by this paper
  31. Predicting axillary response to neoadjuvant chemotherapy using peritumoral and intratumoral ultrasound radiomics in breast cancer subtypes · Jiejie Yao · 2024 · 15 citations · Cited by this paper
  32. Integrating intratumoral and peritumoral radiomics with deep transfer learning for DCE-MRI breast lesion differentiation: A multicenter study comparing performance with radiologists · Tao Yu · 2024 · 14 citations · Cited by this paper
  33. Contrast-enhanced ultrasound radiomics model for predicting axillary lymph node metastasis and prognosis in breast cancer: a multicenter study · Shi Yu Li · 2025 · 8 citations · Cited by this paper
  34. Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study · Eun Sil Kim · 2025 · 7 citations · Cited by this paper

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