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Colorectal and prostate cancers are the most common types of cancer in men worldwide. To diagnose colorectal and prostate cancer, a pathologist performs a histological analysis on needle biopsy samples. This manual process is time-consuming…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Remy Peyret , Duaa alSaeed , Fouad Khelifi , Nadia Al-Ghreimil , Heyam Al-Baity , Ahmed Bouridane

Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic resonance imaging (MRI) for segmentation of target volumes and organs at risk (OARs). Manual segmentation of these volumes is regarded as the gold…

Survival is poor for patients with metastatic cancer, and it is vital to examine new biomarkers that can improve patient prognostication and identify those who would benefit from more aggressive therapy. In metastatic prostate cancer, two…

Methodology · Statistics 2024-08-07 Glenn Heller , Sean M. Devlin

Cancer stem cells are controlled by developmental networks that are often topologically indistinguishable from normal, healthy stem cells. The question is why cancer stem cells can be both phenotypically distinct and have morphological…

Tissues and Organs · Quantitative Biology 2016-08-03 Eric Werner

Cancer is a number of related yet highly heterogeneous diseases. Correct identification of cancer subtypes is critical for clinical decisions. The advance in sequencing technologies has made it possible to study cancer based on abundant…

Applications · Statistics 2018-11-27 Xiaochun Chen , Honggang Wang , Donghui Yan

With the long-term rapid increase in incidences of colorectal cancer (CRC), there is an urgent clinical need to improve risk stratification. The conventional pathology report is usually limited to only a few histopathological features.…

Image and Video Processing · Electrical Eng. & Systems 2020-07-08 Christian Abbet , Inti Zlobec , Behzad Bozorgtabar , Jean-Philippe Thiran

Cancer subtyping is crucial for understanding the nature of tumors and providing suitable therapy. However, existing labelling methods are medically controversial, and have driven the process of subtyping away from teaching signals.…

Machine Learning · Computer Science 2022-11-15 Zheng Chen , Lingwei Zhu , Ziwei Yang , Takashi Matsubara

Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road blocks for clinical utilization. As an extension from our…

Image and Video Processing · Electrical Eng. & Systems 2022-06-14 Weiwei Zong , Eric Carver , Simeng Zhu , Eric Schaff , Daniel Chapman , Joon Lee , Hassan Bagher Ebadian , Indrin Chetty , Benjamin Movsas , Winston Wen , Tarik Alafif , Xiangyun Zong

Robust and accurate detection and segmentation of heterogenous tumors appearing in different anatomical organs with supervised methods require large-scale labeled datasets covering all possible types of diseases. Due to the unavailability…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Mehdi Astaraki , Francesca De Benetti , Yousef Yeganeh , Iuliana Toma-Dasu , Örjan Smedby , Chunliang Wang , Nassir Navab , Thomas Wendler

An early detection of different tumor subtypes is crucial for an effective guidance to personalized therapy. While much efforts focus on decoding the sequence of DNA basis to detect the genetic mutations related to cancer, it is becoming…

MOTIVATION: Detection of prostate cancer during transrectal ultrasound-guided biopsy is challenging. The highly heterogeneous appearance of cancer, presence of ultrasound artefacts, and noise all contribute to these difficulties. Recent…

Image and Video Processing · Electrical Eng. & Systems 2022-07-22 Mahdi Gilany , Paul Wilson , Amoon Jamzad , Fahimeh Fooladgar , Minh Nguyen Nhat To , Brian Wodlinger , Purang Abolmaesumi , Parvin Mousavi

Renal Cell Carcinoma is typically asymptomatic at the early stages for many patients. This leads to a late diagnosis of the tumor, where the curability likelihood is lower, and makes the mortality rate of Renal Cell Carcinoma high, with…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Mohamad Mohamad , Francesco Ponzio , Santa Di Cataldo , Damien Ambrosetti , Xavier Descombes

In the current technological era, the medical profession has emerged as one of the researchers' favorite subject areas, and cancer is one of them. Because there is now no effective treatment for this illness, it is a matter of concern. Only…

Machine Learning · Computer Science 2024-10-23 Praneeth Kumar T , Nidhi Srivastava , Rakshith Mahishi , Chayadevi M L

Prostate radiotherapy is a well established curative oncology modality, which in future will use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy target definition. However the time needed to delineate the…

Image and Video Processing · Electrical Eng. & Systems 2020-11-17 David Gillespie , Connah Kendrick , Ian Boon , Cheng Boon , Tim Rattay , Moi Hoon Yap

Experiments have revealed a nontrivial cancer-inhibiting capability of liquid media treated by the plasma jet capable of forming thinly stratified self-organized patterns at a plasma-liquid interface. A pronounced cancer depressing activity…

Medical Physics · Physics 2017-01-09 Zhitong Chen , Shiqiang Zhang , Igor Levchenko , Isak I. Beilis , Michael Keidar

Prostate cancer is a prevalent malignancy among men aged 50 and older. Current diagnostic methods primarily rely on blood tests, PSA:Prostate-Specific Antigen levels, and Digital Rectal Examinations (DRE). However, these methods suffer from…

Machine Learning · Computer Science 2023-09-28 Amit Mathapati

Risk stratification is a key tool in clinical decision-making, yet current approaches often fail to translate sophisticated survival analysis into actionable clinical criteria. We present a novel method for unsupervised machine learning…

Prostate cancer (PCa) is the most common cancer in men in the United States. Multiparametic magnetic resonance imaging (mp-MRI) has been explored by many researchers to targeted prostate biopsies and radiation therapy. However, assessment…

Computer Vision and Pattern Recognition · Computer Science 2019-04-05 Zhenzhen Dai , Eric Carver , Chang Liu , Joon Lee , Aharon Feldman , Weiwei Zong , Milan Pantelic , Mohamed Elshaikh , Ning Wen

In this paper we propose a classification scheme to isolate truly benign tumors from those that initially start off as benign but subsequently show metastases. A non-parametric artificial neural network methodology has been chosen because…

General Mathematics · Mathematics 2007-05-23 M. Khoshnevisan , Sukanto Bhattacharya , Florentin Smarandache

Personalized treatment of patients based on tissue-specific cancer subtypes has strongly increased the efficacy of the chosen therapies. Even though the amount of data measured for cancer patients has increased over the last years, most…

Machine Learning · Statistics 2017-09-18 Nora K. Speicher , Nico Pfeifer