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- 摘要
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- 实验方案
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Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy
摘要： Background We developed a computer-assisted diagnosis model to evaluate the feasibility of automated classification of intrapapillary capillary loops (IPCLs) to improve the detection of esophageal squamous cell carcinoma (ESCC). Methods We recruited patients who underwent magnifying endoscopy with narrow-band imaging for evaluation of a suspicious esophageal condition. Case images were evaluated to establish a gold standard IPCL classification according to the endoscopic diagnosis and histological findings. A double-labeling fully convolutional network (FCN) was developed for image segmentation. Diagnostic performance of the model was compared with that of endoscopists grouped according to years of experience (senior > 15 years; mid level 10 – 15 years; junior 5 – 10 years). Results Of the 1383 lesions in the study, the mean accuracies of IPCL classification were 92.0 %, 82.0 %, and 73.3 %, for the senior, mid level, and junior groups, respectively. The mean diagnostic accuracy of the model was 89.2 % and 93.0 % at the lesion and pixel levels, respectively. The interobserver agreement between the model and the gold standard was substantial (kappa value, 0.719). The accuracy of the model for inflammatory lesions (92.5 %) was superior to that of the mid level (88.1 %) and junior (86.3 %) groups (P < 0.001). For malignant lesions, the accuracy of the model (B1, 87.6 %; B2, 93.9 %) was significantly higher than that of the mid level (B1, 79.1 %; B2, 90.0 %) and junior (B1, 69.2 %; B2, 79.3 %) groups (P < 0.001). Conclusions Double-labeling FCN automated IPCL recognition was feasible and could facilitate early detection of ESCC.
关键词： esophageal squamous cell carcinoma,intrapapillary capillary loops,computer-assisted diagnosis,narrow-band imaging,magnifying endoscopy
更新于2025-09-10 09:29:36
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Image-Enhanced Small Bowel Capsule Endoscopy: Promises and Caveats
摘要： Small bowel capsule endoscopy (SBCE) is an established diagnostic method in patients with obscure gastrointestinal bleeding, polyposis syndromes and in selected patients with Crohn’s disease and celiac disease. One of the major drawbacks of SBCE is the suboptimal lesion imaging which impairs its diagnostic yield. Here lies the possible importance of image-enhanced or virtual chromoendoscopy (VC) technology that assists, nowadays, most of the reading software of the available devices.
关键词： Small bowel,Virtual chromoendoscopy,Capsule endoscopy
更新于2025-09-09 09:28:46
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Storz Professional Image Enhancement System: A New Technique to Improve Endoscopic Bladder Imaging
摘要： Introduction: SPIES is a novel endoscopic imaging technique with different modalities. Chroma enhances the sharpness of the displayed image. Clara uses a local brightness adaptation in the image to achieve a clearer visibility of darker regions within the image. SPIES Spectra A and B are based on color tone shift algorithms to increase contrast. Objectives: To describe the different SPIES modalities and to test them on bladder tissue images and tissue simulating phantoms with controlled optical properties. Materials and methods: A bladder tumor image in both Chroma and Clara is analyzed on contrast related intensity fluctuations compared to the White Light image. To evaluate Spectra A and B, a validated tissue representing optical phantom model was used. Results: Intensity fluctuations show the effect of the Chroma and Clara mode compared to White light. The SPIES A and B modalities change the effective spectral response in the imaging system. This was shown and measured in the phantom model by an increased absorbance for the superficial layers (Spectra A) and the deeper layers (Spectra B). Conclusion: All SPIES modalities show visual and quantitative differences, expressed as increased image intensity or pixel-to-pixel intensity difference (Chroma and Clara) or increased contrast (Spectra A and B).
关键词： SPIES,Cystoscopy,Endoscopy,Image enhancement
更新于2025-09-09 09:28:46
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Virtual chromoendoscopy by using optical enhancement improves the detection of Barrett’s esophagus–associated neoplasia
摘要： The Seattle protocol for endoscopic Barrett’s esophagus (BE) surveillance samples a small portion of the mucosal surface area, risking a potentially high miss rate of early neoplastic lesions. We assessed whether the new iScan Optical Enhancement system (OE) improves the detection of early BE-associated neoplasia compared with high-definition white-light endoscopy (HD-WLE) in both expert and trainee endoscopists to target sampling of suspicious areas. Such a system may both improve early neoplasia detection and reduce the need for random biopsies.
关键词： Barrett’s esophagus,endoscopy,iScan,optical enhancement,dysplasia detection
更新于2025-09-04 15:30:14
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Determination of ulcer in the digestive tract using image analysis in wireless capsule?endoscopy
摘要： This paper presents an image processing algorithm for the diagnosis of ulcers, which is a lesion occurring in the digestive tract, based on endoscopic images. In general, ulcers are visually distinguishable from normal tissues owing to the defective state in the mucosal membrane, cornea or skin tissue. Based on this characteristic, we used different colors to distinguish between ulcer and normal tissues in the proposed method. First, image luminance was adjusted to ensure similar luminance distribution values through a preprocessing stage in which the captured images were normalized to achieve uniform intensity distribution for each channel. Then, we selected distinctive elements for the detection of ulcer tissues with distinct image-associated chromatic characteristics. Because image luminance can affect detection even after preprocessing, we selected elements that were distinguishable from normal tissues based on the distribution of values displayed by ulcers from both RGB and HSV bands. Moreover, most of the digestive tract ulcers occur on the mucosal surface and tend to cluster together to form a specific zone. This implies that a detected ulcer pixel is more likely to be surrounded by ulcer tissue than normal tissue. Therefore, we used the intensity of each image channel as an additional detection element and performed ulcerative zone detection. An additional advantage of the zone detection process is the exclusion of errors caused by image-emanated random impulse noise. For performance evaluation of the image processing algorithm, we used fifty sheets of endoscopic images and conducted ulcer detection experiments. Finally, we validated our algorithm as showing 91.05% sensitivity and 98.64% specificity.
关键词： endoscopy,image processing,HSV,RGB,Ulcer
更新于2025-09-04 15:30:14
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Image Enhancement of Wireless Capsule Endoscopy Frames Using Image Fusion Technique
摘要： Volume restriction, low battery capacity and low focal length camera in Wireless Capsule Endoscopy (WCE) result in images being of lower contrast, darkness, un-even brightness and image degradations. In this paper, a Laplacian pyramid based Image fusion of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Multi-Scale Retinex with Colour Restoration (MSRCR) to integrate information of both techniques have been proposed. The proposed technique combines the information from CLAHE and MSRCR, reduces uncertainties, redundancy and maximizes the information. Experimental evaluation reveals that the proposed method outperforms existing methods in terms of Peak Signal to Noise Ratio and Structural Similarity Index Measure.
关键词： Image enhancement,Image fusion,Image quality metrics,Wireless capsule endoscopy,Retinex,Laplacian pyramid
更新于2025-09-04 15:30:14
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Lab-on-a-Tip (LOT): Where Nanotechnology Can Revolutionize Fibre Optics
摘要： Recently developed lab-on-a-chip technologies integrate multiple traditional assays on a single chip with higher sensitivity, faster assay time, and more streamlined sample operation. We discuss the prospects of the lab-on-a-tip platform, where assays can be integrated on a miniaturized tip for in situ and in vivo analysis. It will resolve some of the limitations of available lab-on-a-chip platforms and enable next generation multifunctional in vivo sensors, as well as analytical techniques at the single cell or even sub-cellular levels.
关键词： Single cell analysis,Endoscopy,Lab-on-a-tip (LOT),Nanotechnology,Biosensor
更新于2025-09-04 15:30:14