Related references
Note: Only part of the references are listed.The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation
Hester E. Haak et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2022)
Photoacoustic Tomography Detects Response and Resistance to Bevacizumab in Breast Cancer Mouse Models
Isabel Quiros-Gonzalez et al.
CANCER RESEARCH (2022)
Predicting outcomes for locally advanced rectal cancer treated with neoadjuvant chemoradiation with CT-based radiomics
Fuqiang Wang et al.
SCIENTIFIC REPORTS (2022)
Optimising adjuvant chemotherapy for colorectal cancer
Holly Baker
LANCET GASTROENTEROLOGY & HEPATOLOGY (2022)
A clinical decision support system optimising adjuvant chemotherapy for colorectal cancers by integrating deep learning and pathological staging markers: a development and validation study
Andreas Kleppe et al.
LANCET ONCOLOGY (2022)
Using Multi-Scale Convolutional Neural Network Based on Multi-Instance Learning to Predict the Efficacy of Neoadjuvant Chemoradiotherapy for Rectal Cancer
Dehai Zhang et al.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE (2022)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
Photoacoustic Computed Tomography of Breast Cancer in Response to Neoadjuvant Chemotherapy
Li Lin et al.
ADVANCED SCIENCE (2021)
Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning
Xiandong Leng et al.
RADIOLOGY (2021)
Watch and wait approach in rectal cancer: Current controversies and future directions
Fernando Lopez-Campos et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2020)
Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI
Liming Shi et al.
MAGNETIC RESONANCE IMAGING (2019)
Assessment of a Watch-and-Wait Strategy for Rectal Cancer in Patients With a Complete Response After Neoadjuvant Therapy
J. Joshua Smith et al.
JAMA ONCOLOGY (2019)
Can Endorectal Ultrasound, MRI, and Mucosa Integrity Accurately Predict the Complete Response for Mid-Low Rectal Cancer After Preoperative Chemoradiation? A Prospective Observational Study from a Single Medical Center
Sen Liu et al.
DISEASES OF THE COLON & RECTUM (2018)
Photoacoustic Imaging as an Early Biomarker of Radio Therapeutic Efficacy in Head and Neck Cancer
Laurie. J. Rich et al.
THERANOSTICS (2018)
Feasibility of co-registered ultrasound and acoustic-resolution photoacoustic imaging of human colorectal cancer
Xiandong Leng et al.
BIOMEDICAL OPTICS EXPRESS (2018)
A watch-and-wait approach for locally advanced rectal cancer after a clinical complete response following neoadjuvant chemoradiation: a systematic review and meta-analysis
Fahima Dossa et al.
LANCET GASTROENTEROLOGY & HEPATOLOGY (2017)
Photoacoustic signal characterization of cancer treatment response: Correlation with changes in tumor oxygenation
Eno Hysi et al.
PHOTOACOUSTICS (2017)
Prediction of Tumor Recurrence and Therapy Monitoring Using Ultrasound-Guided Photoacoustic Imaging
Srivalleesha Mallidi et al.
THERANOSTICS (2015)
MRI for assessing and predicting response to neoadjuvant treatment in rectal cancer
Regina G. H. Beets-Tan et al.
NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY (2014)
Clinical examination following preoperative chemoradiation for rectal cancer is not a reliable surrogate end point
JG Guillem et al.
JOURNAL OF CLINICAL ONCOLOGY (2005)
Operative versus nonoperative treatment for stage 0 distal rectal cancer following chemoradiation therapy - Long-term results
A Habr-Gama et al.
ANNALS OF SURGERY (2004)
Normal colonic wall thickness at CT and its relation to colonic distension
W Wiesner et al.
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY (2002)
Bladder and sexual dysfunction after mesorectal excision for rectal cancer
A Nesbakken et al.
BRITISH JOURNAL OF SURGERY (2000)