임상 질문으로 논문 찾기
시술별 / 합병증별 의사결정 시나리오에 키워드 + 카테고리 핀을 미리 매핑해 둔 결과를 보여줍니다.
코성형 (Rhinoplasty)
비골·비중격 교정, 코끝 안정성, 재수술, 합병증
눈성형 (Blepharoplasty)
쌍꺼풀, 처진눈꺼풀, 안검하수, 재수술
유방성형 (Mammoplasty)
확대·축소·거상·재건·BIA-ALCL
동안 / 안티에이징
리프팅·필러·보톡스·실리프팅·레이저
체형성형 (Body Contouring)
지방흡입·복부성형·BBL·팔다리거상
공통 합병증
혈종·감염·괴사·흉터
딥러닝 / 영상분석
deep learning, convolutional neural network, image analysis
매칭된 논문: 254건 · fusion · 키워드 5개
-
Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery.
Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Prediction of postoperative recovery in patients with acoustic neuroma using machine learning and SMOTE-ENN techniques.
Prediction of postoperative recovery in patients with acoustic neuroma using machine learning and SMOTE-ENN techniques.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms.
Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Machine learning models for prognosis prediction in endodontic microsurgery.
Machine learning models for prognosis prediction in endodontic microsurgery.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Foundations of Machine Learning-Based Clinical Prediction Modeling: Part V-A Practical Approach to Regression Problems.
Foundations of Machine Learning-Based Clinical Prediction Modeling: Part V-A Practical Approach to Regression P…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Foundations of Machine Learning-Based Clinical Prediction Modeling: Part IV-A Practical Approach to Binary Classification Problems.
Foundations of Machine Learning-Based Clinical Prediction Modeling: Part IV-A Practical Approach to Binary Clas…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control.
2021 Proceedings of machine learning research Kim JW
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfer.
Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfe…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.
Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm su…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Data analytics interrogates robotic surgical performance using a microsurgery-specific haptic device.
…ers and regression analysis was used to identify the key features and develop a machine learning model for surgical skill assessment. [FINDINGS] MANCOVA tests on objective feat…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Spectrally Tunable Neural Network-Assisted Segmentation of Microneurosurgical Anatomy.
…vestigated the normal variance between the samples and utilized descriptive and machine learning analysis on the image stack hypercubes. [RESULTS] Reflectance between intact an…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Prediction of transient tumor enlargement using MRI tumor texture after radiosurgery on vestibular schwannoma.
…nal gray-level co-occurrence matrices (GLCMs). These features were applied in a machine learning environment for classification of TTE, using support vector machines. [RESULTS]…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
A Machine Learning Approach for Predicting Capsular Contracture after Postmastectomy Radiotherapy in Breast Cancer Patients.
A Machine Learning Approach for Predicting Capsular Contracture after Postmastectomy Radiotherapy …
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Risk of Developing Breast Reconstruction Complications: A Machine-Learning Nomogram for Individualized Risk Estimation with and without Postmastectomy Radiation Therapy.
[BACKGROUND] The purpose of this study was to create a nomogram using machine learning models predicting risk of breast reconstruction complications with or without p…
임상질문: 딥러닝 / 영상분석 키워드: machine learning