Machine Learning/Deep Learning in Medical Image Processing |
Autore | Nishio Mizuho |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (132 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
pancreas
segmentation computed tomography deep learning data augmentation neoplasm metastasis ovarian neoplasms radiation exposure tomography x-ray computed prostate carcinoma microscopic convolutional neural network machine learning handcrafted oral carcinoma medical image segmentation colon cancer colon polyps OCT optical biopsy animal rat models CADx airway volume analysis artificial intelligence coronary artery disease SPECT MPI scans convolutional neural networks transfer learning classification models |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557791503321 |
Nishio Mizuho | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent Advances in Minimally Invasive Surgery |
Autore | Biebl Matthias |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (414 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
ovarian cancer
laparoscopy minimally invasive surgery survival mortality platelet-rich plasma (PRP) thin endometrium hysteroscopy robotic surgery sexuality laparoscopic hysterectomy learning curve quality of life counseling patient-doctor-relationship body donors surgical education clinical anatomy live surgery events neuropelveology LION procedure genital nerves stimulation chronic pelvic pain esophagectomy esophageal cancer Ivor-Lewis procedure health-related quality of life cervical cancer robotic radical hysterectomy recurrence rate surgery artificial intelligence machine learning augmented reality hysterectomy NOTES minimally invasive systematic review meta-analysis pediatric surgery fetal surgery single-incision surgery surgical techniques surgical devices open surgery endoscopy endoscopic surgery cysts of the canal of Nuck Nuck hydrocele hydrocelectomy TAPP Lichtenstein colorectal liver metastases laparoscopic liver surgery minimal invasive surgery general anesthesia anesthetics perioperative care laparoscopic surgery endometrial cancer lymphadenectomy embryology sentinel lymph node mapping indocyanine green PMMR technical aspects rectal cancer mesorectal transanal laparoscopic local recurrence conversion rate minimally invasive surgical procedures radiotherapy ovarian neoplasms endometrial neoplasms uterine cervical neoplasms vaginal neoplasms vulvar neoplasms survival analysis video feedback video modeling gynecology surgical training pelvitrainer prolapse pelvic floor native tissue pectopexy robotic assisted surgery pancreatic surgery pancreaticoduodenectomy pelvic floor repair laparoscopic repair vaginal repair mesh use VATS pain postoperative pain control thoracic surgery lung cancer intercostal catheter opioid regional anaesthesia hepatectomy single-port laparoscopy radiofrequency pre-coagulation endometriosis endometrioma surgery ovarian reserve anti-Müllerian hormone spontaneous pregnancy robotic liver resection da Vinci intraoperative imaging hepatocellular cancer real-life imaging hepatic metastasis COVID-19 sars-cov-2 surgical performance 3D printing skill assessment snorkel mask malabsorption Roux-en-Y gastric bypass one-anastomosis gastric bypass SADI-S biliopancreatic diversion weight regain hepatocellular carcinoma cholangiocarcinoma risk score pelvic compartments embryologic development oncologic surgery pelvic lymphonodectomy topographic anatomy autonomic pelvic nerves uterine cancer prostate cancer diaphragmatic hernia liver resection hernia repair mesh enterothorax |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557467203321 |
Biebl Matthias | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|