What is Soft Tissue Sarcoma Cancer: Sarcoma और Carcinoma कैंसर में क्या फर्क है. ये कितना कॉमन है और किसे हो सकता है सरकोमा कैंसर या सोफ्ट ट‍िशु कैंसर के कारण क्या हैं? सरकोमा की गांठ कैसी दिखती है, कैसे समझ सकते हैं कि यह सरकोमा है, क्या इसमें दर्द होता है? सरकोमा के लिए क्या इलाज उपलब्ध हैं. सरकोमा कैंसर कितनी तरह का होता है, सरकोमा कैंसर के कितने स्टेज होते है? इसी तरह के सभी छोटे बड़े सवालों को लेकर Sarcoma Cancer Awareness Month के मौके पर एक लाइव सेशन में एनडीटीवी सेहत वेहत की अनिता शर्मा ने बात की जाने-माने आनकोलोजी सर्जन सुरेंद्र कुमार डबास (Dr. Surender Kumar Dabas, SENIOR DIRECTOR & HOD SURGICAL ONCOLOGY & ROBOTIC SURGERY, BLK, DELHI) से. आप भी देखें इस वी‍डियो को.

अस्वीकरण: सलाह सहित यह सामग्री केवल सामान्य जानकारी प्रदान करती है. यह किसी भी तरह से योग्य चिकित्सा राय का विकल्प नहीं है. अधिक जानकारी के लिए हमेशा किसी विशेषज्ञ या अपने चिकित्सक से परामर्श करें.

#SarcomaCancer #cancer #NDTVSehatVehat

Laini saw a lump on her leg and knew something wasn't right. Laini and her family found care close to home in Virginia and then learned the news about her diagnosis of a low-grade sarcoma to her thigh. Laini's mother looked for a sarcoma center to seek further care for her daughter's tumor. In their search, they found the Johns Hopkins Sarcoma Clinic and saw Dr. Adam Levin from Orthopaedic Oncology to help treat Laini's myxoid liposarcoma. Now, she is sharing her story with others and spreading hope for all those who face a cancer diagnosis. #Sarcoma #JohnsHopkins

Maria Wimmer and Theresa Neubauer present their paper "Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data" at the ML-CDS Workshop (Multimodal Learning for Clinical Decision Support" Workshop) of MICCAI 2020.


Tumor segmentation in multimodal medical images has seen a growing trend towards deep learning based methods. Typically, studies dealing with this topic fuse multimodal image data to improve the tumor segmentation contour for a single imaging modality. However, they do not take into account that tumor characteristics are emphasized differently by each modality, which affects the tumor delineation. Thus, the tumor segmentation is modality- and task-dependent. This is especially the case for soft tissue sarcomas, where, due to necrotic tumor tissue, the segmentation differs vastly. Closing this gap, we develop a modalityspecific sarcoma segmentation model that utilizes multimodal image data to improve the tumor delineation on each individual modality. We propose a simultaneous co-segmentation method, which enables multimodal feature learning through modality-specific encoder and decoder branches, and the use of resource-efficient densely connected convolutional layers. We further conduct experiments to analyze how different input modalities and encoder-decoder fusion strategies affect the segmentation result. We demonstrate the effectiveness of our approach on public soft tissue sarcoma data, which comprises MRI (T1 and T2 sequence) and PET/CT scans. The results show that our multimodal co-segmentation model provides better modality-specific tumor segmentation than models using only the PET or MRI (T1 and T2) scan as input.


T. Neubauer, M. Wimmer, A. Berg, D. Major, D. Lenis, T. Beyer, J. Saponjski, K. Bühler (2020): Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data. Multimodal Learning for Clinical Decision Support" Workshop of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

With Sant Chawla, MD, and, Kumar Sankhala, MD

Dr. Nicholas Tedesco D.O. discusses soft tissue sarcomas and vascular malignancies.