OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis

Stoyanov, DanailTaylor, ZaikeSarikaya, DuyguMcLeod, JonathanGonzález Ballester, Miguel AngelCodella, Noel C.F.Martel, AnneMaier-Hein, LenaMalpani, AnandZenati, Marco A.Ribaupierre, Sandrine deXiongbiao, LuoCollins, TobyReichl, TobiasDrechsler, KlausErdt, MariusLinguraru, Marius GeorgeOyarzun Laura, CristinaShekhar, RajWesarg, StefanCelebi, M. EmreDana, KristinHalpern, Allan2022-03-142022-03-142018https://publica.fraunhofer.de/handle/publica/40206010.1007/978-3-030-01201-4The OR 2.0 papers cover a wide range of topics such as machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors. The CARE papers cover topics to advance the field of computer-assisted and robotic endoscopy. The CLIP papers cover topics to fill gaps between basic science and clinical applications. The ISIC papers cover topics to facilitate knowledge dissemination in the field of skin image analysis, as well as to host a melanoma detection challenge, raising awareness and interest for these socially valuable tasks.enartificial intelligence (AI)classificationscomputer networksResearch Line: Computer vision (CV)Research Line: Human computer interaction (HCI)image analysisimage processingimage segmentationmachine learningmedical imagingneural networksregistrationSupport vector machines (SVM)user interfaces006OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysisconference proceeding