𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Benign /malignant classifier of soft tissue tumors using MR imaging

✍ Scribed by Juan M. García-Gómez; César Vidal; Dr. Luis Martí-Bonmatí; Joaquín Galant; Nicolas Sans; Montserrat Robles; Francisco Casacuberta


Publisher
Springer
Year
2004
Tongue
English
Weight
309 KB
Volume
16
Category
Article
ISSN
0968-5243

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Detection of malignant soft tissue tumor
✍ M. Vorne; T. Saukko 📂 Article 📅 1984 🏛 Springer 🌐 English ⚖ 501 KB

A total of 2530 consecutive bone scans were examined to evaluate the number and the type of soft tissue neoplasms detected with bone-seeking phosphonates. Sixty-eight primary or secondary soft tissue neoplasms of 63 patients accumulated 99mTc -methylene diphosphonate and 2 accumulated 99mTc -diphosp

Usefulness of diffusion-weighted imaging
✍ Kiyoshi Oka; Toshitake Yakushiji; Hiro Sato; Toru Fujimoto; Toshinori Hirai; Yas 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 275 KB 👁 2 views

## Abstract ## Purpose To evaluate the usefulness of diffusion‐weighted imaging (DWI) for differentiating between desmoid tumors and malignant soft tissue tumors. ## Materials and Methods Conventional MRI and DWI were performed for 8 desmoid tumors and 74 malignant soft tissue tumors. DWI was ob

Machine learning study of several classi
✍ Jaber Juntu; Jan Sijbers; Steve De Backer; Jeny Rajan; Dirk Van Dyck 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 301 KB

## Abstract ## Purpose: To study, from a machine learning perspective, the performance of several machine learning classifiers that use texture analysis features extracted from soft‐tissue tumors in nonenhanced T1‐MRI images to discriminate between malignant and benign tumors. ## Materials and Me