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Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms

https://doi.org/10.1007/bf03178082
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jso.2930550112openalex-snapshot
Selective digital enhancement of conventional film mammography
inferredcites →https://doi.org/10.1007/978-3-642-82384-8_6openalex-snapshot
Psychovisual Issues in the Display of Medical Images
inferredcites →https://doi.org/10.1007/bf03168072openalex-snapshot
Clinical use of digital mammography: The present and the prospects
inferredcites →https://doi.org/10.1007/bf03168534openalex-snapshot
A method for determination of optimal image enhancement for the detection of mammographic abnormalities
inferredcites →https://doi.org/10.1007/bf03168559openalex-snapshot
Does intensity windowing improve the detection of simulated calcifications in dense mammograms?
inferredcites →https://doi.org/10.1007/bf03168840openalex-snapshot
The effect of intensity windowing on the detection of simulated masses embedded in dense portions of digitized mammograms in a laboratory setting
inferredcites →https://doi.org/10.1016/0360-3016(93)90357-2openalex-snapshot
Portal film enhancement: Technique and clinical utility
inferredcites →https://doi.org/10.1016/s0887-2171(96)90029-3openalex-snapshot
Current status of digital mammography
inferredcites →https://doi.org/10.1016/s1076-6332(96)80240-6openalex-snapshot
Interpretation of calcifications in screen/film, digitized, and wavelet-enhanced monitor-displayed mammograms: A receiver operating characteristic study
inferredcites →https://doi.org/10.1097/00004424-197411000-00009openalex-snapshot
The Influence of Structured Noise on the Detection of Radiologic Abnormalities
inferredcites →https://doi.org/10.1097/00004424-198707000-00010openalex-snapshot
Digital Mammography
inferredcites →https://doi.org/10.1097/00004424-199306000-00001openalex-snapshot
Comparison of Bilateral-Subtraction and Single-Image Processing Techniques in the Computerized Detection of Mammographic Masses
inferredcites →https://doi.org/10.1118/1.596065openalex-snapshot
Image feature analysis and computer-aided diagnosis in digital radiography. I. Automated detection of microcalcifications in mammography
inferredcites →https://doi.org/10.1118/1.596610openalex-snapshot
Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images
inferredcites →https://doi.org/10.1148/123.3.559openalex-snapshot
Psychophysical Studies of Detection Errors in Chest Radiology
inferredcites →https://doi.org/10.1148/radiology.159.3.3704149openalex-snapshot
Mammographic microcalcifications: detection with xerography, screen-film, and digitized film display.
inferredcites →https://doi.org/10.1148/radiology.183.3.1584908openalex-snapshot
Digital mammography and related technologies: a perspective from the National Cancer Institute.
inferredcites →https://doi.org/10.1148/radiology.185.3.864openalex-snapshot
Mammographic Interpretation: A Practical Approach
inferredcites →https://doi.org/10.2214/ajr.126.6.1233openalex-snapshot
Lesion conspicuity, structured noise, and film reader error
inferredcites →https://doi.org/10.2214/ajr.140.1.9openalex-snapshot
Enhanced image mammography

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Retinal image enhancement using dark channel prior
inferred← citeshttps://doi.org/10.1007/s13042-022-01716-2openalex-snapshot
Near-infrared fusion for deep lightness enhancement
inferred← citeshttps://doi.org/10.1007/s13198-026-03195-yopenalex-snapshot
Homotopy-based image enhancement techniques for medical imaging applications
inferred← citeshttps://doi.org/10.1007/s13755-024-00330-6openalex-snapshot
DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images
inferred← citeshttps://doi.org/10.1007/s40009-024-01482-5openalex-snapshot
AEIN-An Intelligent Computational Technique for Biometric Based Individual Yorkshire Pig Identification Using Auricular Vein
inferred← citeshttps://doi.org/10.1007/s40010-016-0264-2openalex-snapshot
Face Recognition of Cattle: Can it be Done?
inferred← citeshttps://doi.org/10.1007/s40033-026-01060-7openalex-snapshot
Adaptive Transmittance and Edge-Aware Refinement for Open-Pit Mine Dust Image Dehazing: An Enhanced Three-Stream v2 Algorithm
inferred← citeshttps://doi.org/10.1007/s40846-017-0276-7openalex-snapshot
An Approach for Enhancement of Microcalcifications in Mammograms
inferred← citeshttps://doi.org/10.1007/s42452-021-04754-7openalex-snapshot
Keypoint detectors and texture analysis based comprehensive comparison in different color spaces for automatic detection of the optic disc in retinal fundus images
inferred← citeshttps://doi.org/10.1007/s44443-025-00270-5openalex-snapshot
LUXFormer: Low-light image enhancement via joint spatial-frequency illumination modeling
inferred← citeshttps://doi.org/10.1007/s44443-026-00831-2openalex-snapshot
Underwater image enhancement via deep modeling with frequency decomposition
inferred← citeshttps://doi.org/10.1007/s44564-026-00013-2openalex-snapshot
A hierarchical pipeline for preprocessing and classification of breast histopathology images into benign and malignant
inferred← citeshttps://doi.org/10.1016/b978-0-08-101217-8.00004-xopenalex-snapshot
Computer vision and its application in detecting fabric defects
inferred← citeshttps://doi.org/10.1016/b978-0-12-802209-2.00010-3openalex-snapshot
Screening for Breast Cancer in Women With Dense Breasts
inferred← citeshttps://doi.org/10.1016/b978-0-12-815370-3.00010-4openalex-snapshot
A genetic algorithm-based metaheuristic approach to customize a computer-aided classification system for enhanced screen film mammograms
inferred← citeshttps://doi.org/10.1016/j.acra.2006.07.007openalex-snapshot
The Positive Predictive Value for Diagnosis of Breast Cancer
inferred← citeshttps://doi.org/10.1016/j.aej.2026.02.029openalex-snapshot
New insights for enhancing the intelligence of coal mine: A two-stage method for unsupervised low-light image enhancement and lightweight detection
inferred← citeshttps://doi.org/10.1016/j.asoc.2014.11.020openalex-snapshot
Underwater image quality enhancement through integrated color model with Rayleigh distribution
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.06.029openalex-snapshot
Mammogram image visual enhancement, mass segmentation and classification
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.08.033openalex-snapshot
Enhancement of low quality underwater image through integrated global and local contrast correction
inferred← citeshttps://doi.org/10.1016/j.asoc.2017.04.023openalex-snapshot
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images
inferred← citeshttps://doi.org/10.1016/j.bbe.2016.11.006openalex-snapshot
An objective method to identify optimum clip-limit and histogram specification of contrast limited adaptive histogram equalization for MR images
inferred← citeshttps://doi.org/10.1016/j.bbe.2018.12.003openalex-snapshot
Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104123openalex-snapshot
Characteristic patch-based deep and handcrafted feature learning for red lesion segmentation in fundus images
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104384openalex-snapshot
A two-stage histogram equalization enhancement scheme for feature preservation in retinal fundus images
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104450openalex-snapshot
Multi-level GAN based enhanced CT scans for liver cancer diagnosis
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104808openalex-snapshot
An efficient hybrid computer-aided breast cancer diagnosis system with wavelet packet transform and synthetically-generated contrast-enhanced spectral mammography images
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105680openalex-snapshot
Placenta segmentation in magnetic resonance imaging: Addressing position and shape of uncertainty and blurred placenta boundary
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106293openalex-snapshot
CMNet: Cascaded context fusion and multi-attention network for multiple lesion segmentation of diabetic retinopathy images
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107352openalex-snapshot
STMF-DRNet: A multi-branch fine-grained classification model for diabetic retinopathy using Swin-TransformerV2
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107813openalex-snapshot
LECNet: Lesion semantic feature enhancement and complementary networks for diabetic retinopathy grading
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109104openalex-snapshot
MS-SAM: Multi-stage SAM based on the fusion of multi-scale image encoder and multi-view prompt encoder for diabetic retinopathy segmentation
inferred← citeshttps://doi.org/10.1016/j.cmpb.2011.05.007openalex-snapshot
Technique for preprocessing of digital mammogram
inferred← citeshttps://doi.org/10.1016/j.cmpb.2013.10.015openalex-snapshot
Teeth segmentation of dental periapical radiographs based on local singularity analysis
inferred← citeshttps://doi.org/10.1016/j.cmpb.2015.08.016openalex-snapshot
Evaluating geodesic active contours in microcalcifications segmentation on mammograms
inferred← citeshttps://doi.org/10.1016/j.cmpb.2016.05.015openalex-snapshot
Retinal blood vessel extraction using tunable bandpass filter and fuzzy conditional entropy
inferred← citeshttps://doi.org/10.1016/j.cmpb.2018.05.035openalex-snapshot
Lymphoma images analysis using morphological and non-morphological descriptors for classification
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106903openalex-snapshot
YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.107320openalex-snapshot
Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images
inferred← citeshttps://doi.org/10.1016/j.compag.2016.05.020openalex-snapshot
Detection of dropped citrus fruit on the ground and evaluation of decay stages in varying illumination conditions
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2016.04.015openalex-snapshot
Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2017.03.016openalex-snapshot
Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.104116openalex-snapshot
Retinal fundus image enhancement with image decomposition and visual adaptation
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104245openalex-snapshot
A framework for breast cancer classification using Multi-DCNNs
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2021.104454openalex-snapshot
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109335openalex-snapshot
Influence of hair presence on dermoscopic image analysis by AI in skin lesion diagnosis
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109352openalex-snapshot
Multi-lesion segmentation guided deep attention network for automated detection of diabetic retinopathy
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2010.12.001openalex-snapshot
Multiple layers block overlapped histogram equalization for local content emphasis
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2025.102629openalex-snapshot
A multi-backbone cascade and morphology-aware segmentation network for complex morphological X-ray coronary artery images
inferred← citeshttps://doi.org/10.1016/j.csbj.2024.03.006openalex-snapshot
Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.103930openalex-snapshot
PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104063openalex-snapshot
Self-supervised network for low-light traffic image enhancement based on deep noise and artifacts removal
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104276openalex-snapshot
Illumination-aware and structure-guided transformer for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.cviu.2025.104576openalex-snapshot
LLIE-Face: A multi-modal dataset for low-light facial image enhancement
inferred← citeshttps://doi.org/10.1016/j.dcan.2024.11.010openalex-snapshot
Hierarchical flow learning for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.displa.2024.102954openalex-snapshot
Wavelet-based enhancement network for low-light image
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103040openalex-snapshot
Continuous detail enhancement framework for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103163openalex-snapshot
DRIGNet: Low-light image enhancement based on dual-range information guidance
inferred← citeshttps://doi.org/10.1016/j.displa.2026.103522openalex-snapshot
Low-light image enhancement network with semantic-aware Mamba and Fourier cross-fusion
inferred← citeshttps://doi.org/10.1016/j.dsp.2003.07.002openalex-snapshot
A simple and effective histogram equalization approach to image enhancement
inferred← citeshttps://doi.org/10.1016/j.dsp.2013.06.002openalex-snapshot
Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104557openalex-snapshot
A low-light image enhancement model based on anisotropic weighted exponential local derivatives
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105632openalex-snapshot
LACN: A lightweight attention-guided ConvNeXt network for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107994openalex-snapshot
GNN-fused CapsNet with multi-head prediction for diabetic retinopathy grading
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112578openalex-snapshot
Signal-to-noise ratio guided noise adaptive network via Dual-domain collaboration for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.eswa.2016.11.031openalex-snapshot
An automatic BI-RADS description of mammographic masses by fusing multiresolution features
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.06.038openalex-snapshot
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach
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