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関連する概念動画

Computed Tomography01:10

Computed Tomography

6.1K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

5.3K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

50
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
50
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.5K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.5K
Positron Emission Tomography01:29

Positron Emission Tomography

5.4K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
5.4K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

14.2K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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関連する実験動画

Updated: Sep 9, 2025

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

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オクタスコップ: 光学コヘランス・トモグラフィーの軽量な予備訓練モデル

Haoyang Cui1, Chen Wang2, Paul Calle1

  • 1School of Computer Science, Gallogly College of Engineering, The University of Oklahoma, Norman, OK 73019, USA.

IEEE access : practical innovations, open solutions
|August 28, 2025
PubMed
まとめ

オクタスコップは,新しいディープラーニングモデルで,光学コヘレンストモグラフィ (OCT) の画像分析を強化します. マルチドメインの予備訓練により,リアルタイムの臨床アプリケーションで高い精度とより速い速度を達成します.

キーワード:
ディープラーニングOCTの医療イメージングオクタスコプドメイン特有のファンデーションモデル軽量学習を移転する

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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
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Last Updated: Sep 9, 2025

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
07:44

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT

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科学分野:

  • バイオメディカルイメージング
  • 医療における人工知能
  • 医学画像分析のためのディープラーニング

背景:

  • 光学コヒーレンストモグラフィー (OCT) は,高解像度の地下組織イメージングを提供します.
  • OCTの分析のためのディープラーニングは,限られたトレーニングデータと遅い推論速度で課題に直面しています.
  • OCTの効率的で正確なAIモデルを開発することは,臨床応用において極めて重要です.

研究 の 目的:

  • 効率的で正確なOCT画像分析のための軽量でドメイン特有のコンボリューションニューラルネットワーク (CNN) モデルを開発する.
  • 異なる組織型におけるOCT分析モデルの一般化性を向上させる.
  • 計算効率と診断精度のバランスを実現する.

主な方法:

  • OCT画像分析のための軽量なCNNモデルであるOctascopeを開発した.
  • 予備訓練のカリキュラム学習アプローチ:自然画像 (ImageNet) を採用し,次に様々なOCT組織 (網膜,腹部,腎臓) を採用した.
  • エピデュラル組織検出と網膜診断の作業に関するオクタスコプの評価,既存の方法とトランスフォーマーベースのモデルとの比較.

主要な成果:

  • オクタスコップは,外腔内組織検出の精度が向上したことを示した (単一タスク学習よりも9. 13%,OCT特有の転送学習よりも5. 95%).
  • OctascopeはVGG16 (5. 36%) とResNet50 (6. 66%) を上回った.
  • Octascopeは,RETFoundよりも2〜4. 4倍速い推論速度を達成し,同様の精度またはより高い精度を達成しました.

結論:

  • オクタスコップは,OCTの画像分析において,計算効率と診断精度をバランスとすることで,重要な進歩をもたらします.
  • マルチドメインの予備訓練戦略は,異なる組織型でモデルの汎用性を高めます.
  • Octascopeは,迅速かつ信頼性の高いOCT画像の解釈を必要とするリアルタイムの臨床アプリケーションに適しています.