Publications by authors named "Luhao Sun"
Article Synopsis
- Early detection of breast cancer through mammograms significantly decreases mortality rates, making image classification a crucial task for computer-aided diagnosis (CAD) systems.
- The reliance on region of interest (ROI) annotations in traditional CNN-based mammogram classification can be limiting due to the high costs and challenges in obtaining reliable annotations.
- The proposed deep multi-scale region selection network (MRSN) allows end-to-end training of full-field mammography images without needing ROI, effectively focusing on tumor regions and improving classification performance through selective feature representation.
Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification.
IEEE Trans Med Imaging
September 2024
Article Synopsis
- Early detection of breast cancer through mammograms is crucial for reducing mortality, and computer-aided diagnosis (CAD) using deep learning enhances radiologists' accuracy in screening.
- Traditional CAD methods often require extensive manual annotations and face challenges due to large image sizes and small lesions, leading to high costs and computational demands.
- The proposed DLSEN-RS model simplifies the process by using a single feature extractor with positional embedding and aggregation pooling to effectively locate lesions without the need for labor-intensive methods, showing strong performance in tests on recognized datasets.
Disitamab vedotin (RC48) is a novel cleavable antibody-drug conjugate (ADC) that has shown promising preclinical activity in HER2-positive breast cancer. However, real-world data regarding its efficacy and safety is lacking, especially in patients previously treated with trastuzumab and heavily treated patients. This retrospective study aimed to evaluate the effectiveness and safety of RC48 in HER2-positive metastatic breast cancer (MBC) in non-clinical trial settings.
View Article and Find Full Text PDFBackground: Breast cancer (BC) is the most common malignant cancer. The prognosis of patients differs according to the location of distant metastasis, with pleura being a common metastatic site in BC. Nonetheless, clinical data of patients with pleural metastasis (PM) as the only distant metastatic site at initial diagnosis of metastatic BC (MBC) are limited.
View Article and Find Full Text PDFThis study is aimed to develop and validate a novel nomogram model that can preoperatively predict axillary lymph node pathological complete response (pCR) after NAT and avoid unnecessary axillary lymph node dissection (ALND) for breast cancer patients. A total of 410 patients who underwent NAT and were pathologically confirmed to be axillary lymph node positive after breast cancer surgery were included. They were divided into two groups: patients with axillary lymph node pCR and patients with residual node lesions after NAT.
View Article and Find Full Text PDFObjectives: The aim of this study was to identify the factors for local-regional recurrence (LRR) after breast-conserving therapy (BCT). We established a practical nomogram to predict the likelihood of LRR after BCT based on hematological parameters and clinicopathological features.
Methods: A retrospective analysis was performed on 2,085 consecutive breast cancer patients who received BCT in Shandong Cancer Hospital from 2006 to 2016, including 1,460 patients in the training cohort and 625 patients in the validation cohort.