Performing ART can improve the accuracy of treatment and is a promising method [7], among which automatic delineation of clinical target volume (CTV) on CBCT images is an important step in ART. Due to the intrinsic characteristics of radiotherapy after breast conserving surgery, there are some ...
Intraoperative radiation therapyCTOptimizationPURPOSE: Intraoperative radiation therapy (TORT) is an increasingly popular approach to breast conserving therapy in the treatment of early-stage breast cancer. A drawback to TORT compared with postoperative adjuvant radiation therapy is that it is not performed...
Introduction: Improved survival of patients treated for Hodgkin’s disease has been increased at the cost of late complications, the most frequent of which are secondary neoplasias such as breast cancers, which account for 6–9% of these neoplasias after t...
Automatic medical image segmentation has long been a research topic for a long time because organ labeling consumes a lot of time and effort from experts [1]. After the development of UNets [2], similar networks have been presented, and their performance has improved steadily. In addition, pu...
After that, deformable registration from CT to MRI was performed. Afterward, the pCT images were used as a benchmark for the sCTs during training and testing. Architecture of cycleSimulationGAN Figure 1 illustrates the overall workflow of our method. The original MRI is output through the ...
Cross-modal deep learning model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer Article Open access 05 September 2024 Introduction Accurate prediction of treatment response in individual patients is essential for personalized medicine. Given its noninvasive nature, rad...
Recently, machine learning (ML) techniques dependent on convolutional neural network (CNN) architectures have prepared transformational growth in radiology and medical analysis for illnesses like lung, pancreatic, breast, and melanoma. Deep learning (DL) is a region of artificial intelligence (AI), a...
Assessment of despeckle filtering algorithms for segmentation of breast tumours from ultrasound images. Biocybern Biomed Eng. 2019;39(1):100–21. Article Google Scholar Rajeshwar Dass, Yadav N. Image Quality Assessment parameters for Despeckling Filters. Procedia Comput Sci. 2020;167:2382–92. ...
Lung cancer is the deadliest of all cancers afflicting both sexes, accounting for 18.4% of the total cancer deaths worldwide in 2018, almost equal to breast and colon cancers combined1. Recent advances in treatment (immune checkpoint inhibitors, tyrosine kinase inhibitors) has significantly improved...
A confirmed breast tumor usually requires treatment bysurgeryand may require chemotherapy, radiation, targeted biological therapy, and/or hormonal therapy. When a breast tumor is found in an early stage of cancer, it is more likely to be successfully treated to prevent its spread or recurrence. ...