Results 41 to 50 of about 11,121 (234)

Texture and Color Enhanced Imaging in the Diagnosis of Colonic Neoplasia: A Systematic Review and Analysis

JGH Open
ABSTRACTIntroductionImage enhanced endoscopy (IEE) can augment the detection of colorectal cancer (CRC) and its precursor lesions, potentially reducing incidence and mortality. Early data on texture and color enhancement imaging (TXI) support its use for neoplasia screening.
Ciaran Judge, David Law, Glynis Jones, Sherman Picardo, Krish Ragunath   +4 more
openaire   +3 more sources

Cholangioscopy in IgG4-related sclerosing cholangitis using texture and color enhancement imaging and red dichromatic imaging. [PDF]

Endoscopy, 2023
Ishii T, Kaneko T, Murakami A, Enomoto M, Sugimori K, Kawana I, Maeda S.   +6 more
europepmc   +3 more sources

Texture and color enhancement imaging versus white light imaging for the detection of colorectal adenomas: Systematic review and meta-analysis [PDF]

Endoscopy International Open
Stefan Mitev, Humza Saeed, Ch Faizan Rasheed, null Abdullah, Stefan Murvakov, Vassil Sirakov, Stefan Tchernodrinski, Zoya Spassova   +7 more
doaj   +2 more sources

Emerging texture and color enhancement imaging in early gastric cancer [PDF]

Digestive Endoscopy, 2021
Screening endoscopy improves detection and prognosis of patients with gastric cancer. However, even expert endoscopists can miss early gastric cancer under standard white light imaging. Texture and color enhancement imaging (TXI) is an image‐enhanced endoscopy that enhances brightness, surface irregularities such elevation or depression, and subtle ...
Seiichiro Abe, Mai Ego Makiguchi, Satoru Nonaka, Haruhisa Suzuki, Shigetaka Yoshinaga, Yutaka Saito   +5 more
openaire   +2 more sources

Usefulness of texture- and color-enhancement imaging for identifying the bleeding point in a patient with post–endoscopic sphincterotomy bleeding

VideoGIE, 2023
Yuki Tanisaka, MD, PhD, Masafumi Mizuide, MD, PhD, Akashi Fujita, MD, PhD, Rie Shiomi, MD, Takahiro shin, MD, Dai Hirata, MD, Kei Sugimoto, MD, Shomei Ryozawa, MD, PhD   +7 more
doaj   +3 more sources

Detecting colorectal lesions with image-enhanced endoscopy: an updated review from clinical trials [PDF]

Clinical Endoscopy, 2023
Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions.
Mizuki Nagai, Sho Suzuki, Yohei Minato, Fumiaki Ishibashi, Kentaro Mochida, Ken Ohata, Tetsuo Morishita   +6 more
doaj   +1 more source

Gastric squamous metaplasia observed by image‐enhanced endoscopy

DEN Open, 2023
A 61‐year‐old Helicobacter pylori‐positive female with gastroesophageal reflux disease has undergone surveillance endoscopy every year for 13 years at Tokyo Medical University Hospital.
Eri Iwata, Mitsushige Sugimoto, Yoshika Akimoto, Mariko Hamada, Ryota Niikura, Naoyoshi Nagata, Takao Itoi, Takashi Kawai   +7 more
doaj   +1 more source

Primary Duodenal Adenocarcinoma Expressing Carbonic Anhydrase IX

Case Reports in Gastroenterology, 2022
Primary duodenal adenocarcinoma is a rare malignancy whose carbonic anhydrase IX (CA9) expression remains poorly understood. A 73-year-old man visited our hospital for a medical checkup.
Kimitoshi Kubo, Noriko Kimura, Ryosuke Watanabe, Masayuki Higashino, Mototsugu Kato   +4 more
doaj   +1 more source

An Additional 30-s Observation of the Right-Sided Colon Using a Novel Endoscopic System with Texture and Color Enhancement Imaging Decreases Polyp Miss Rates: A Multicenter Study. [PDF]

Diagnostics (Basel)
Background/Objectives: White light imaging (WLI) of colonoscopy has a 26% adenoma miss rate. We aimed to evaluate the effectiveness of an additional 30 s (Add-30s) observation of the right-sided colon using a novel system (EVIS X1; Olympus Co.) with ...
Inagaki Y, Yoshida N, Hashimoto H, Inada Y, Murakami T, Shimomura T, Kassai K, Tomita Y, Kobayashi R, Inoue K, Hirose R, Dohi O, Itoh Y.   +12 more
europepmc   +2 more sources

Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Convolution Neural Networks

IEEE Open Journal of Signal Processing, 2021
In low light condition, color (RGB) images captured by visible sensors suffer from severe noise causing loss of colors and textures. However, near infrared (NIR) images captured by NIR sensors are robust to noise even in low light condition without color.
Cheolkon Jung, Qihui Han, Kailong Zhou, Yuanquan Xu   +3 more
doaj   +1 more source