Related references
Note: Only part of the references are listed.Solid tumor size for prediction of recurrence in large and giant non-functioning pituitary adenomas
Ching-Chung Ko et al.
NEUROSURGICAL REVIEW (2022)
Neural network modeling for prediction of recurrence, progression, and hormonal non-remission in patients following resection of functional pituitary adenomas
Shane Shahrestani et al.
PITUITARY (2021)
Prediction of the Recurrence of Non-Functioning Pituitary Adenomas Using Preoperative Supra-Intra Sellar Volume and Tumor-Carotid Distance
Wenli Chen et al.
FRONTIERS IN ENDOCRINOLOGY (2021)
Image-driven classification of functioning and nonfunctioning pituitary adenoma by deep convolutional neural networks
Hongyu Li et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2021)
Prediction of recurrence in solid nonfunctioning pituitary macroadenomas: additional benefits of diffusion-weighted MR imaging
Ching-Chung Ko et al.
JOURNAL OF NEUROSURGERY (2020)
A novel diagnostic method for pituitary adenoma based on magnetic resonance imaging using a convolutional neural network
Yu Qian et al.
PITUITARY (2020)
The Application of Deep Learning in Cancer Prognosis Prediction
Wan Zhu et al.
CANCERS (2020)
Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region
Qiuchang Sun et al.
FRONTIERS IN ONCOLOGY (2020)
Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction
Hong Zhu et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2020)
Radiomics Approach for Prediction of Recurrence in Non-Functioning Pituitary Macroadenomas
Yang Zhang et al.
FRONTIERS IN ONCOLOGY (2020)
Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions
Ashirbani Saha et al.
PITUITARY (2020)
Ore image segmentation method using U-Net and Res_Unet convolutional networks
Xiaobo Liu et al.
RSC ADVANCES (2020)
Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI
Amalya Zeynalova et al.
NEURORADIOLOGY (2019)
From Handcrafted to Deep-Learning-Based Cancer Radiomics Challenges and opportunities
Parnian Afshar et al.
IEEE SIGNAL PROCESSING MAGAZINE (2019)
Deep learning and radiomics in precision medicine
Vishwa S. Parekh et al.
EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT (2019)
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel S. Kermany et al.
CELL (2018)
Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw et al.
NATURE MEDICINE (2018)
Apparent diffusion coefficient and pituitary macroadenomas: pre-operative assessment of tumor atypia
Benita Tamrazi et al.
PITUITARY (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2017)
Deep Learning for Brain Tumor Classification
Justin S. Paul et al.
MEDICAL IMAGING 2017: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING (2017)
Outcome of radiotherapy for pituitary adenomas
Patricia Sebastian et al.
REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY (2016)
Tumor Recurrence or Regrowth in Adults With Nonfunctioning Pituitary Adenomas Using GH Replacement Therapy
N. C. van Varsseveld et al.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2015)
Machine learning applications in cancer prognosis and prediction
Konstantina Kourou et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2015)
Analysis of operative efficacy for giant pituitary adenoma
Shousen Wang et al.
BMC SURGERY (2014)
CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2006-2010
Quinn T. Ostrom et al.
NEURO-ONCOLOGY (2013)
Clinical factors involved in the recurrence of pituitary adenomas after surgical remission: a structured review and meta-analysis
Ferdinand Roelfsema et al.
PITUITARY (2012)
Pydicom: An Open Source DICOM Library
D. Mason
MEDICAL PHYSICS (2011)
Radiotherapy for pituitary adenomas: long-term outcome and complications
Chai Hong Rim et al.
RADIATION ONCOLOGY JOURNAL (2011)
Discrimination of prolactinoma from hyperprolactinemic non-functioning adenoma
Jae Won Hong et al.
ENDOCRINE (2010)
Non-functioning pituitary adenomas
Yona Greenman et al.
BEST PRACTICE & RESEARCH CLINICAL ENDOCRINOLOGY & METABOLISM (2009)
Nonfunctioning pituitary tumors and pituitary incidentalomas
Mark E. Molitch
ENDOCRINOLOGY AND METABOLISM CLINICS OF NORTH AMERICA (2008)
Long-term outcomes of radiotherapy for pituitary adenomas
Felicia E. Snead et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2008)
Share Paper
