Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions
AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …
applied to many areas in different domains such as health care and drug design. Cancer …
Timing and delays in breast cancer evaluation and treatment
RJ Bleicher - Annals of surgical oncology, 2018 - Springer
Background Even small delays in the treatment of breast cancer are a frequently expressed
concern of patients. Knowledge about this subject is important for clinicians to counsel …
concern of patients. Knowledge about this subject is important for clinicians to counsel …
An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant
A Kodipalli, S Guha, S Dasar, T Ismail - Expert Systems, 2022 - Wiley Online Library
The classification of tumours into benign and malignant continues to date to be a very
relevant and significant research topic in the cancer research domain. With the advent of …
relevant and significant research topic in the cancer research domain. With the advent of …
Fear of cancer recurrence and death anxiety
In 2013, 3 systematic reviews of fear of cancer recurrence (FCR) and its predictors were
published. All 3 concurred that FCR is a highly prevalent problem and amongst the largest …
published. All 3 concurred that FCR is a highly prevalent problem and amongst the largest …
Recent advances in Metal-Organic Frameworks as nanocarriers for triggered release of anticancer drugs: Brief history, biomedical applications, challenges and future …
Abstract Metal-Organic Frameworks (MOFs) have emerged as a promising biomedical
material due to its unique features such as high surface area, pore volume, variable pore …
material due to its unique features such as high surface area, pore volume, variable pore …
Fear of cancer recurrence: A qualitative systematic review and meta-synthesis of patients' experiences
SN Almeida, R Elliott, ER Silva, CMD Sales - Clinical psychology review, 2019 - Elsevier
Fear of cancer recurrence (FCR) is a significant issue for most cancer survivors, with nearly
half of cancer survivors reporting it at moderate to high levels of intensity. We aimed to …
half of cancer survivors reporting it at moderate to high levels of intensity. We aimed to …
The influence of emotions on treatment decisions about low-risk thyroid cancer: a qualitative study
Background: Little is known about the role of emotions in treatment decisions for thyroid
cancer. We aimed to characterize the emotional content of patient–surgeon communication …
cancer. We aimed to characterize the emotional content of patient–surgeon communication …
Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis
LA Courtenay, D González-Aguilera… - Biomedical Optics …, 2021 - opg.optica.org
Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is
encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising …
encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising …
Patients' reaction to diagnosis with thyroid cancer or an indeterminate thyroid nodule
Introduction: Little is known about the experiences and concerns of patients recently
diagnosed with thyroid cancer or an indeterminate thyroid nodule. This study sought to …
diagnosed with thyroid cancer or an indeterminate thyroid nodule. This study sought to …
From overdiagnosis to overtreatment of low-risk thyroid cancer: a thematic analysis of attitudes and beliefs of endocrinologists, surgeons, and patients
Introduction: The optimal management for patients with small, low-risk thyroid cancer is often
debated. We aimed to characterize the attitudes and beliefs of providers and patients about …
debated. We aimed to characterize the attitudes and beliefs of providers and patients about …