AIMC Topic: Soft Tissue Neoplasms
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Deep learning for diagnosis and survival prediction in soft tissue sarcoma.
Annals of oncology : official journal of the European Society for Medical Oncology
Jun 15, 2021
BACKGROUND: Clinical management of soft tissue sarcoma (STS) is particularly challenging. Here, we used digital pathology and deep learning (DL) for diagnosis and prognosis prediction of STS.
Sarcoma classification by DNA methylation profiling.
Nature communications
Jan 21, 2021
Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They represent a morphologically heterogeneous class of tumours and some entities lack defining histopathological features. Therefore, the diagnosis of sa...
Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients.
Scientific reports
Sep 23, 2020
Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any quantitative analysis because signal intensities (SI) do not have standardized units. Radiomics combine quantification of tumors' radiological phenotype...
Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.
AJR. American journal of roentgenology
Jul 29, 2020
The purpose of this study was to assess the value of radiomics features for differentiating soft tissue sarcomas (STSs) of different histopathologic grades. The T1-weighted and fat-suppressed T2-weighted MR images of 70 STSs of varying grades (35 l...
Minimally interactive segmentation of soft-tissue tumors on CT and MRI using deep learning.
European radiology
May 1, 2025
BACKGROUND: Segmentations are crucial in medical imaging for morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in clinical workflow, while automatic segmentation generally performs sub-par.
[Applications of artificial intelligence for imaging-driven diagnosis and treatment of bone and soft tissue tumors].
Zhonghua zhong liu za zhi [Chinese journal of oncology]
Sep 23, 2024
Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone and soft tissue account for 0.2% of all human malignant tumors, and if not diagnosed and treated in a timely manner, patients may be at risk of a poor ...
Research status and progress of radiomics in bone and soft tissue tumors: A review.
Medicine
Nov 24, 2023
Bone and soft tissue tumors are diverse, accompanying by complex histological components and significantly divergent biological behaviors. It is a challenge to address the demand for qualitative imaging as traditional imaging is restricted to the det...
Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence.
Radiologic clinics of North America
Mar 1, 2022
AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, and doses of radiation and contrast. AI can improve radiologist workflow and decrease interpretation times. AI may someday be capable of accurately lo...
MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.
Tomography (Ann Arbor, Mich.)
Mar 1, 2020
Small-animal imaging is an essential tool that provides noninvasive, longitudinal insight into novel cancer therapies. However, considerable variability in image analysis techniques can lead to inconsistent results. We have developed quantitative ima...
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