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Cancer development is a multistep process often starting with a single cell in which a number of epigenetic and genetic alterations have accumulated thus transforming it into a tumor cell. The progeny of such a single benign tumor cell…

Tissues and Organs · Quantitative Biology 2022-09-21 Steffen Lange , Richard Mogwitz , Denis Hünniger , Anja Voss-Böhme

Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin cancer are recorded in the United States annually. Early identification and evaluation of skin lesions is of great clinical significance,…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Rajeev Kumar Singh , Rohan Gorantla , Sai Giridhar Allada , Narra Pratap

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

Rapid diagnosis of gastric cancer is a great challenge for clinical doctors. Dramatic progress of computer vision on gastric cancer has been made recently and this review focuses on advances during the past five years. Different methods for…

Image and Video Processing · Electrical Eng. & Systems 2020-06-02 Yihua Sun

Melanoma is a type of skin cancer developed from melanocytes. It is one of the most lethal types of cancer, accounting for approximately 75% of skin cancer deaths. Late stage melanoma is very difficult to treat, since the cancer cells are…

Quantitative Methods · Quantitative Biology 2018-11-28 Xue Teng , Fuad Gwadry , Haley McConkey , Scott Ernst , Femida Gwadry-Sridhar

We assessed the validity of one of the most frequently used methods to estimate cancer incidence, on the basis of cancer mortality data and the incidence-to-mortality ratio IMR, the IMR method. Using the previous 15 year cancer mortality…

Rectal cancer is one of the most common diseases and a major cause of mortality. For deciding rectal cancer treatment plans, T-staging is important. However, evaluating the index from preoperative MRI images requires high radiologists'…

Image and Video Processing · Electrical Eng. & Systems 2023-12-11 Saeko Sasuga , Akira Kudo , Yoshiro Kitamura , Satoshi Iizuka , Edgar Simo-Serra , Atsushi Hamabe , Masayuki Ishii , Ichiro Takemasa

Purpose Tumor-infiltrating lymphocytes (TILs) have significant prognostic values in cancers. However, very few automated, deep-learning-based TIL scoring algorithms have been developed for colorectal cancers (CRC). Methods We developed an…

Quantitative Methods · Quantitative Biology 2022-09-16 Anran Liu , Xingyu Li , Hongyi Wu , Bangwei Guo , Jitendra Jonnagaddala , Hong Zhang , Xu Steven Xu

Tumor volume and changes in tumor characteristics over time are important biomarkers for cancer therapy. In this context, FDG-PET/CT scans are routinely used for staging and re-staging of cancer, as the radiolabeled fluorodeoxyglucose is…

We exploit liver cancer prediction model using machine learning algorithms based on epidemiological data of over 55 thousand peoples from 2014 to the present. The best performance is an AUC of 0.71. We analyzed model parameters to…

Machine Learning · Computer Science 2021-02-04 Jinpeng Li , Yaling Tao , Ting Cai

In 2023, it is estimated that 81,800 kidney cancer cases will be newly diagnosed, and 14,890 people will die from this cancer in the United States. Preoperative dynamic contrast-enhanced abdominal computed tomography (CT) is often used for…

Image and Video Processing · Electrical Eng. & Systems 2023-12-12 Kwang-Hyun Uhm , Hyunjun Cho , Zhixin Xu , Seohoon Lim , Seung-Won Jung , Sung-Hoo Hong , Sung-Jea Ko

Squamous cell carcinoma (SCC) is the most common cancer subtype, with an increasing incidence and a significant impact on cancer-related mortality. SCC grading using whole slide images is inherently challenging due to the lack of a reliable…

Precision medicine promises to transform health care by offering individualised treatments that dramatically improve clinical outcomes. A necessary prerequisite is to identify subgroups of patients who respond differently to different…

Machine Learning · Computer Science 2026-03-03 Adam Marcus , Paul Agapow

In binary classification applications, conservative decision-making that allows for abstention can be advantageous. To this end, we introduce a novel approach that determines the optimal cutoff interval for risk scores, which can be…

Machine Learning · Statistics 2025-10-01 Yishu Wei , Wen-Yee Lee , George Ekow Quaye , Xiaogang Su

In this paper, a new framework for obtaining personalized optimal treatment strategies in colon cancer-induced angiogenesis is presented. The dynamics of colon cancer is given by a It\'o stochastic process, which helps in modeling the…

Quantitative Methods · Quantitative Biology 2021-11-16 Souvik Roy , Zui Pan , Suvra Pal

The most deadly and life-threatening disease in the world is lung cancer. Though early diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate. A computerized tomography (CT) scan-based image is one of the…

Image and Video Processing · Electrical Eng. & Systems 2023-04-12 Muntasir Mamun , Md Ishtyaq Mahmud , Mahabuba Meherin , Ahmed Abdelgawad

Prostate cancer is the most common disease in men and the second leading cause of death from cancer. Generic large imaging instruments used in cancer diagnosis have sensitivity, spatial resolution, and contrast inadequate for the task of…

Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20\%. Due to their rarity, the diagnosis of these…

Colorectal liver metastases (CLM) significantly impact colon cancer patients, influencing survival based on systemic chemotherapy response. Traditional methods like tumor grading scores (e.g., tumor regression grade - TRG) for prognosis…

Radiology report generation (RRG) is commonly formulated as a single-path generation task, where a multimodal large language model (MLLM) produces one decoded report as the final output. While recent progress has largely been driven by…

Computation and Language · Computer Science 2026-05-29 Xi Zhang , Yingshu Li , Zaiqiao Meng , Jake Lever , Edmond S. L. Ho